Nature Reviews Neuroscience

Top Research Topics at Nature Reviews Neuroscience?

Nature Reviews Neuroscience generally zeroes in on subjects such as Neuroscience, Cell biology, Cognitive psychology, Disease and Synaptic plasticity. The journal features Neuroscience research that overlaps with concepts in Neurotransmission. Nature Reviews Neuroscience is focused mainly on Synaptic plasticity, particularly Metaplasticity.

• Neuroscience (50.44%)
• Cell biology (6.96%)
• Cognitive psychology (6.30%)

What are the most cited papers published in the journal?

• Control of goal-directed and stimulus-driven attention in the brain (8917 citations)
• Complex brain networks: graph theoretical analysis of structural and functional systems (7721 citations)
• Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. (5052 citations)

Research areas of the most cited articles at Nature Reviews Neuroscience:

The most cited papers aim to foster the development of research in Neuroscience, Cognition, Cognitive psychology, Central nervous system and Synaptic plasticity. The most cited articles dive deep in exploring the relationship between the study of Neuroscience and Disease. The works on Cognition tackled in the most cited articles bring together disciplines like Developmental psychology, Nerve net and Cognitive science.

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

• Gene
• Internal medicine
• Neuroscience

The previous edition focused in particular on these issues:

The discussions in the journal mainly cover the fields of Neuroscience, MEDLINE, 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Cognitive science. It addresses concerns in Neuroscience which are intertwined with other disciplines, such as Neurodegeneration and Function (biology). In addition to MEDLINE research, the journal aims to explore topics under Text mining and Computational biology.

It facilitates discussions on Computational biology that incorporate concepts from other fields like Mutation and Gene. Artificial neural network, Cognition and Perception are some topics wherein Cognitive science research discussed in it have an impact. The work on Cognition tackled in it brings together disciplines like Cognitive psychology, Set (psychology) and Perspective (graphical).

The most cited articles from the last journal are:

• If deep learning is the answer, what is the question? (34 citations)
• The default mode network: where the idiosyncratic self meets the shared social world. (28 citations)
• Reverse engineering Lewy bodies: how far have we come and how far can we go? (25 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.

Top authors and change over time

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

• Katherine Whalley (323 papers) published 10 papers at the last edition, 7 less than at the previous edition,
• Sian Lewis (319 papers) published 18 papers at the last edition, 5 less than at the previous edition,
• Leonie Welberg (258 papers) absent at the last edition,
• Darran Yates (229 papers) published 10 papers at the last edition, 1 less than at the previous edition,
• Rachel Jones (205 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

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

• University College London (70 papers) published 1 paper at the last edition, 5 less than at the previous edition,
• Harvard University (70 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Max Planck Society (64 papers) published 2 papers at the last edition, 6 less than at the previous edition,
• National Institutes of Health (58 papers) absent at the last edition,
• Stanford University (45 papers) published 4 papers at the last edition, 1 more than at the previous 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, 50.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 25.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.97% of all publications and 29.31% 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.

Speech-Language Pathology and Neuroscience

There is also an increasing interest in the cross-disciplinary exploration of Neuroscience and Speech-Language Pathology. As both fields inform each other, they help enhance the understanding of human communication disorders and their treatments. this emphasis is particularly relevant in the context of Louisiana, where a significant number of researchers and practitioners are channeling their efforts into this sphere. Interested individuals may refer to the speech pathologist requirements in Louisiana to learn more about the training pathways and professional regulations in this state. This in-depth knowledge about the path to becoming a speech-language pathologist coupled with research insights from Neuroscience could greatly contribute to the overall development of treatment models and patient care.