Nature Biomedical Engineering

Top Research Topics at Nature Biomedical Engineering?

The topics of Biomedical engineering, Cell biology, Cancer research, Pathology and Computational biology are the focal point of discussions in the journal. The journal facilitates discussions on Cancer research that incorporate concepts from other fields like Cancer, Immune system, Immunotherapy and Antibody.

• Biomedical engineering (12.76%)
• Cell biology (12.76%)
• Cancer research (11.93%)

What are the most cited papers published in the journal?

• Near-infrared fluorophores for biomedical imaging (991 citations)
• Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning (633 citations)
• Artificial Intelligence in Healthcare (452 citations)

Research areas of the most cited articles at Nature Biomedical Engineering:

The journal papers mostly deal with topics like Biomedical engineering, Cancer research, In vivo, Pathology and Cell biology. The journal papers hold forums on Cancer research that merge themes from other disciplines such as Immune checkpoint, Cancer, Cancer immunotherapy, Immunotherapy and Cell culture. The journal publications address concerns in Cell biology which are intertwined with other disciplines, such as HEK 293 cells, Cell and Induced pluripotent stem cell.

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 scientific interests tackled in the journal are Cancer research, Cell biology, Immune system, Biomedical engineering and Text mining. While Cancer research is the focus of it, it also provided insights into the studies of Cancer cell, Choroidal neovascularization, Antigen, Antibody and Chimeric antigen receptor. Cell biology study tackled is connected to the field of In vitro.

Immune system research discussed connects with the study of Cell culture. The study on Biomedical engineering presented in Nature Biomedical Engineering intersects with the topics under Magnetic resonance imaging. Issues in Text mining were discussed, taking into consideration concepts from other disciplines like MEDLINE, Bioinformatics and Contrast (vision).

The most cited articles from the last journal are:

• Data-efficient and weakly supervised computational pathology on whole-slide images. (48 citations)
• An epidermal patch for the simultaneous monitoring of haemodynamic and metabolic biomarkers (32 citations)
• A human-airway-on-a-chip for the rapid identification of candidate antiviral therapeutics and prophylactics. (31 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 Biomedical Engineering (based on the number of publications) are:

• Robert Langer (13 papers) published 1 paper at the last edition, 3 less than at the previous edition,
• John A. Rogers (11 papers) published 2 papers at the last edition the same number as at the previous edition,
• Donald E. Ingber (9 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Yonggang Huang (9 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Richard Novak (7 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 Biomedical Engineering (based on the number of publications) are:

• Harvard University (91 papers) published 21 papers at the last edition, 3 less than at the previous edition,
• Stanford University (60 papers) published 11 papers at the last edition, 7 less than at the previous edition,
• Massachusetts Institute of Technology (59 papers) published 10 papers at the last edition, 6 less than at the previous edition,
• Brigham and Women's Hospital (33 papers) published 4 papers at the last edition, 5 less than at the previous edition,
• Boston Children's Hospital (30 papers) published 5 papers at the last edition, 4 less 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, 0.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.28% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.74% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.85% of all publications and 20.13% 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.

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