Annual Review of Biomedical Engineering

Top Research Topics at Annual Review of Biomedical Engineering?

Annual Review of Biomedical Engineering covers a variety of subjects, including Nanotechnology, Biomedical engineering, Cell biology, Neuroscience and Computational biology. Annual Review of Biomedical Engineering focused on Nanotechnology research but expanded to cover Systems engineering. The journal centers on topics in Biomedical engineering, with a focus on Tissue engineering.

Cell biology research discussed connects with the study of Cytoskeleton. The main emphasis of the journal is the research on Computational biology, emphasizing the topic of Synthetic biology.

• Nanotechnology (21.53%)
• Biomedical engineering (16.58%)
• Cell biology (11.63%)

What are the most cited papers published in the journal?

• Soft Lithography in Biology and Biochemistry (2317 citations)
• The effect of nanoparticle size, shape, and surface chemistry on biological systems. (2249 citations)
• Current methods in medical image segmentation. (1719 citations)

Research areas of the most cited articles at Annual Review of Biomedical Engineering:

The published articles primarily focus on research topics in Nanotechnology, Biomedical engineering, Cell biology, Tissue engineering and Neuroscience. Aside from discussions in Nanotechnology, the published articles also deal with the subject of Molecular imaging which intersects with Nanomedicine disciplines. The study of Biomedical engineering in the journal papers encompasses disciplines such as Medical imaging, as well as fields such as Machine learning, all of which overlap with one another.

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

• Internal medicine
• Gene
• Cancer

The previous edition focused in particular on these issues:

The primary areas of discussion in Annual Review of Biomedical Engineering are Computational biology, Neuroscience, Nanotechnology, 2019-20 coronavirus outbreak and Synthetic biology. The journal facilitates discussions on Computational biology that incorporate concepts from other fields like Genome editing, CRISPR, Microfluidics and Epigenome editing. Topics in Neuroscience were tackled in line with various other fields like Disease and Drug.

Issues in Disease were discussed, taking into consideration concepts from other disciplines like Inflammation, Mechanotransduction, Homeostasis and Function (biology). Annual Review of Biomedical Engineering is focused mainly on Nanotechnology, particularly Biosensor. Microbiome, Developmental biology and Optogenetics are some topics wherein Synthetic biology research discussed in the journal have an impact.

The most cited articles from the last journal are:

• Fluid Dynamics of Respiratory Infectious Diseases. (4 citations)
• Quantitative Molecular Positron Emission Tomography Imaging Using Advanced Deep Learning Techniques (4 citations)
• Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes (4 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 Annual Review of Biomedical Engineering (based on the number of publications) are:

• Martin L. Yarmush (7 papers) absent at the last edition,
• Shu Chien (5 papers) absent at the last edition,
• Michael S. Sacks (4 papers) absent at the last edition,
• Mehmet Toner (4 papers) absent at the last edition,
• Barry R. Masters (3 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 Annual Review of Biomedical Engineering (based on the number of publications) are:

• Harvard University (33 papers) published 1 paper at the last edition the same number as at the previous edition,
• Massachusetts Institute of Technology (24 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Johns Hopkins University (18 papers) absent at the last edition,
• University of Washington (15 papers) published 1 paper at the last edition,
• Georgia Institute of Technology (15 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 28.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.81% of all publications and 14.29% 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.

Opportunities for Prospective Researchers

The industry of Biomedical Engineering is ever evolving, thus presenting an array of career opportunities as well as areas for research and exploration in the field. One such focused area is Medical Coding – a vital and rising aspect of the Biomedical world. Becoming a Medical Coder requires specific education and competency in medical terminology and a deep understanding of the body’s anatomy among other things. Medical coding has been a highly effective method in converting medical reports into numerical codes for efficient health record maintenance and medical billing. For scholars looking to carve a niche in this area, the Annual Review of Biomedical Engineering provides an excellent platform to showcase their research and work. By contributing to this esteemed journal, budding researchers can enhance their subject knowledge, gain a competitive edge in their careers and contribute to the evolution of the field. For those specifically interested in Medical Coding, we encourage you to explore our comprehensive guide on how to become a medical coder in Kentucky. This resource provides in-depth information on the career path, education requirements, certification details, and other valuable aspects of getting into this intriguing and highly sought-after field of Biomedical Engineering.