Elisha Beebe

652 citations
7 papers · 231 · 1 hit paper · h-index 3

Impact in

Papers in

    • Pancreatic function and diabetes 3
    • Diabetes and associated disorders 3

Elisha Beebe

5 papers receiving 230 citations

Elisha Beebe's Hit Papers

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics 2021 · 205 citations
2050+1+3Years since publication50100150200

Peers

Elisha Beebe
Comparison fields: 5 of 46
  • Genetics 156
  • Endocrinology, Diabetes and Metabolism 71
  • Surgery 84
  • Immunology 39
  • Gastroenterology 10
Replace Katha Korgaonkar with:
Katha Korgaonkar United States
Rebecca Melton United States
Anna Wiberg Sweden
Ramona Puff Germany
Yoriko Nishida Japan
R. Wagner United States
Zita Halász Hungary
Gloria Allende United States
Pauline Grogan Italy
Thaís Kataoka Homma Brazil
Elisha Beebe relative to Katha Korgaonkar United States Katha Korgaonkar's profile →
Citations per field
00.5×
Katha Korgaonkar · 1×
Citations per year

Countries citing papers authored by Elisha Beebe

Since Specialization
Citations

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

Fields of papers citing papers by Elisha Beebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisha Beebe. 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 Elisha Beebe. The network helps show where Elisha Beebe may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Interpreting type 1 diabetes risk with genetics and single-cell epigenomics
Hit paper breakdown →
2021205
2 202118
3 20245
4 20212
5 20231
6 20250
7 20250

About Elisha Beebe

Elisha Beebe is a scholar working on Surgery, Genetics, Infectious Diseases, Hematology and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 231 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (3 papers), Diabetes Management and Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Genetics (156 citations), Endocrinology, Diabetes and Metabolism (71 citations), Surgery (84 citations), Immunology (39 citations) and Gastroenterology (10 citations). Elisha Beebe has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Mei-Lin Okino, Paola Benaglio, Joshua Chiou, Kyle J. Gaulton, Sebastian Preißl, Michael Miller, Serina Huang, Sandra Heller, Alexander Kleger and Jee Yun Han. Their work appears in journals such as Infectious Diseases and Therapy, Nature, Value in Health, PLoS Genetics and Open Forum Infectious Diseases.

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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