Eric A. Sherer

490 citations
35 papers · 356 · h-index 9

Impact in

Papers in

    • Colorectal Cancer Screening and Detection 10
    • Gene Regulatory Network Analysis 5
    • Single-cell and spatial transcriptomics 3

Eric A. Sherer

34 papers receiving 340 citations

Peers

Eric A. Sherer
Comparison fields: 5 of 108
  • Modeling and Simulation 47
  • Oncology 122
  • Statistics and Probability 29
  • Pulmonary and Respiratory Medicine 106
  • Pharmacology 18
Replace Kirill Peskov with:
Kirill Peskov Russia
Jeroen Elassaiss‐Schaap United States
Veronika Voronova United States
Zinnia P. Parra‐Guillén Spain
Shawn Garbett United States
Seungju Lee South Korea
Kalyanasundaram Subramanian United States
Jonathan Tang United States
Ray Liu United States
Peter Salzman United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric A. Sherer

Since Specialization
Citations

This map shows the geographic impact of Eric A. Sherer'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 Eric A. Sherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Sherer more than expected).

Fields of papers citing papers by Eric A. Sherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Sherer. 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 Eric A. Sherer. The network helps show where Eric A. Sherer may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric A. Sherer, 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 Eric A. Sherer Line = papers co-authored together Eric A. Sherer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201182
2 201039
3 201330
4 200725
5 201522
6 200621
7 201221
8 201416
9 201816
10 20148
11 20077
12 20136
13 20116
14 20176
15 20086
16 20165
17 20215
18 20164
19 20084
20 20183

About Eric A. Sherer

Eric A. Sherer is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Media Technology, having authored 35 papers that have together received 356 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (10 papers), Gastric Cancer Management and Outcomes (6 papers), Gene Regulatory Network Analysis (5 papers), Engineering Education and Curriculum Development (4 papers), Single-cell and spatial transcriptomics (3 papers), Engineering Education and Pedagogy (3 papers), Statistical Methods in Clinical Trials (3 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Modeling and Simulation (47 citations), Oncology (122 citations), Statistics and Probability (29 citations), Pulmonary and Respiratory Medicine (106 citations) and Pharmacology (18 citations). Eric A. Sherer has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Thomas F. Imperiale, Timothy D. Imler, Doraiswami Ramkrishna, Ann E. Rundell, Mark Sale, Robert E. Hannemann, D. Patrick O’Neal, Terry A. Vik, Robert R. Bies and Jon A. Schwartz. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Gastrointestinal Endoscopy, Journal of Theoretical Biology, Cancer and Biotechnology and Bioengineering.

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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