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Annual Review of Neuroscience
H-index 43

Annual Review of Neuroscience

0147-006X

Published by: Annual Reviews

https://www.annualreviews.org/journal/neuro

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 41 87 73 42

Additional Metrics

Number of Best Scientists*: 109
Documents by Best Scientists*: 87
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 269
SCIMAGO SJR: 7.112
Impact Factor: 13.2

Overview

Top Research Topics at Annual Review of Neuroscience?

The journal generally zeroes in on subjects such as Neuroscience, Nervous system, Sensory system, Central nervous system and Perception. Annual Review of Neuroscience connects the study in Neuroscience with the closely related area of Synaptic plasticity. Synaptic plasticity research featured in it incorporates concerns from various other topics such as Long-term potentiation and Neurotransmission.

  • Neuroscience (95.52%)
  • Nervous system (9.93%)
  • Sensory system (8.41%)

What are the most cited papers published in the journal?

  • An integrative theory of prefrontal cortex function (8974 citations)
  • Parallel Organization of Functionally Segregated Circuits Linking Basal Ganglia and Cortex (7074 citations)
  • Emotion Circuits in the Brain (6575 citations)

Research areas of the most cited articles at Annual Review of Neuroscience:

The most cited publications focus largely on the fields of Neuroscience, Synaptic plasticity, Cognition, Central nervous system and Visual cortex. The most cited publications dive deep in exploring the relationship between the study of Neuroscience and Long-term potentiation. The journal articles address concerns in the field of Cognition by exploring it in line with topics in Cognitive psychology which intersect with Prefrontal cortex subjects.

What topics the last edition of the journal is best known for?

  • Gene
  • Neuroscience
  • Neuron

The previous edition focused in particular on these issues:

Annual Review of Neuroscience covers a variety of subjects, including Neuroscience, Context (language use), Cognitive science, Mammalian brain and Inference. While work presented in the journal provided substantial information on Neuroscience, it also covered topics in Adaptive behavior and Ion channel. Animal brain and Cognition, Cognitive model are some topics wherein Cognitive science research discussed in Annual Review of Neuroscience have an impact.

The journal focuses on Mammalian brain but the discussions also offer insight into other areas such as Tripartite synapse, Neuroanatomy, Molecular classification and Brain mapping. The journal explores issues in Inference which can be linked to other research areas like Feature learning and Bayesian probability. Perception research presented in the journal encompasses a variety of subjects, including Neocortex, Sensory system and Dendritic tuft.

The most cited articles from the last journal are:

  • Oxytocin, Neural Plasticity, and Social Behavior. (10 citations)
  • Ion Channel Degeneracy, Variability, and Covariation in Neuron and Circuit Resilience (9 citations)
  • Consolidating the Circuit Model for Addiction (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Annual Review of Neuroscience (based on the number of publications) are:

  • Yuh Nung Jan (5 papers) absent at the last edition,
  • Thomas C. Südhof (4 papers) absent at the last edition,
  • Jonathan D. Cohen (4 papers) absent at the last edition,
  • Eve Marder (4 papers) published 1 paper at the last edition,
  • Joseph S. Takahashi (4 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Annual Review of Neuroscience (based on the number of publications) are:

  • Harvard University (52 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Stanford University (51 papers) absent at the last edition,
  • University of California, San Francisco (39 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Howard Hughes Medical Institute (35 papers) absent at the last edition,
  • Washington University in St. Louis (26 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.83% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 50.00% of all publications and 25.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Prospects in Neuroscience

For individuals interested in the fascinating field of neuroscience and seeking to make a career in it, understanding the various aspects like qualifications, skills needed, potential job roles and career prospects are crucial. For becoming a researcher in neuroscience, a PhD in neuroscience or a related discipline is generally required. As a researcher, one can choose to specialize in various subfields like synaptic plasticity, cognition, or central nervous system among others, as mentioned in the journal 'Annual Review of Neuroscience'. However, a career in neuroscience is not limited to just research. One can consider becoming a Speech-Language Pathologist (SLP) which is a promising and rewarding career option in the medical field of neuroscience. SLPs are involved in the research, diagnosis, and treatment of communication disorders related to brain injuries or diseases. A Master’s degree in Speech-Language Pathology along with a certification from the American Speech-Language-Hearing Association (ASHA) is generally the entry requirement for an SLP role. For specific state requirements, one can refer to state licensing bodies. For instance, details on becoming a Speech Pathologist in Georgia can be found in our guide speech pathologist requirements in georgia. Careers in neuroscience are diverse ranging from neuroimaging technician, neurologist, neuropsychologist, neurosurgeon, to neuroscientist. These roles are in high demand and offer competitive salaries according to the level of experience and qualifications. Pursuing a career in neuroscience can thus lead to tremendous professional growth and personal satisfaction.

Top Publications

  • Synaptic Plasticity Forms and Functions.

    Jeffrey C Magee;Christine Grienberger

    (2020)
    741 Citations
  • Computation Through Neural Population Dynamics.

    Saurabh Vyas;Matthew D Golub;David Sussillo;David Sussillo;Krishna V Shenoy

    (2020)
    634 Citations
  • Oxytocin, Neural Plasticity, and Social Behavior.

    Robert C Froemke;Robert C Froemke;Larry J Young;Larry J Young;Larry J Young

    (2021)
    391 Citations
  • Neuromodulation of Brain State and Behavior.

    David A McCormick;Dennis B Nestvogel;Biyu J He

    (2020)
    225 Citations
  • Interneuron Types as Attractors and Controllers

    Gord Fishell;Adam Kepecs

    (2020)
    161 Citations
  • Ion Channel Degeneracy, Variability, and Covariation in Neuron and Circuit Resilience

    Jean-Marc Goaillard;Eve Marder

    (2021)
    144 Citations
  • Adeno-Associated Virus Toolkit to Target Diverse Brain Cells.

    (2022)
    126 Citations
  • Brainstem Circuits for Locomotion.

    (2022)
    124 Citations
  • Challenges of Organoid Research

    (2022)
    124 Citations
  • Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration.

    Benjamin Schuman;Shlomo Dellal;Alvar Prönneke;Robert Machold

    (2021)
    114 Citations

Best Scientists Contributing to This Journal

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