Jonathan C. Silverstein

98 papers receiving 2.3k citations

Jonathan C. Silverstein's Hit Papers

SenNet recommendations for detecting senescent cells in different tissues 2024 · 243 citations
2430+2+4Years since publication100200300

Peers

Jonathan C. Silverstein
Comparison fields: 5 of 164
  • Biophysics 156
  • Aging 42
  • Health Information Management 95
  • Medical Terminology 3
  • Health Informatics 18
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Countries citing papers authored by Jonathan C. Silverstein

Since Specialization
Citations

This map shows the geographic impact of Jonathan C. Silverstein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan C. Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Silverstein more than expected).

Fields of papers citing papers by Jonathan C. Silverstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Silverstein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan C. Silverstein. The network helps show where Jonathan C. Silverstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan C. Silverstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan C. Silverstein Line = papers co-authored together Jonathan C. Silverstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
Hit paper breakdown →
2019391
2
SenNet recommendations for detecting senescent cells in different tissues
Hit paper breakdown →
2024243
3 1999173
4 2016123
5 202392
6 202286
7 202280
8 201369
9 201967
10 200863
11 201446
12
Globus MEDICUS - federation of DICOM medical imaging devices into healthcare Grids.
200744
13 201936
14 200235
15 200335
16 202135
17 200334
18 201833
19 201531
20 200931

About Jonathan C. Silverstein

Jonathan C. Silverstein is a scholar working on Health Information Management, Surgery, Information Systems and Management, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Surgical Simulation and Training (12 papers), Single-cell and spatial transcriptomics (7 papers), Anatomy and Medical Technology (7 papers), Electronic Health Records Systems (7 papers), Scientific Computing and Data Management (6 papers), Biomedical Text Mining and Ontologies (6 papers), Distributed and Parallel Computing Systems (6 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Biophysics (156 citations), Aging (42 citations), Health Information Management (95 citations), Medical Terminology (3 citations) and Health Informatics (18 citations). Jonathan C. Silverstein has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Fred W. Dech, Richard A. Prinz, Daniel J. Deziel, Keith W. Millikan, John D. Christein, Alexander Doolas, Yang Shen, Steven Roth, Charles P. Friedman and Kevin Sullivan. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, F1000Research, Learning Health Systems and Nature Methods.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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