Elisha Beebe

731 citations
8 papers · 264 · 1 hit paper · h-index 3

Impact in

Papers in

    • COVID-19 Clinical Research Studies 2
    • Multiple Myeloma Research and Treatments 2
    • Chronic Myeloid Leukemia Treatments 1

Elisha Beebe

6 papers receiving 263 citations

Elisha Beebe's Hit Papers

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics 2021 · 229 citations
2290+1+3Years since publication50100150200

Peers

Elisha Beebe
Comparison fields: 5 of 43
  • Genetics 136
  • Endocrinology, Diabetes and Metabolism 53
  • Surgery 69
  • Immunology 30
  • Biological Psychiatry 3
Replace Rebecca L. Melton with:
Rebecca L. Melton United States
Ashley E. Ciecko United States
Katha Korgaonkar United States
Han-Sang Baek South Korea
Angie Green United Kingdom
Florian Szymczak Belgium
Hugo Barcenilla Sweden
Ramona Puff Germany
Christine Bender Germany
Yoriko Nishida Japan
Elisha Beebe relative to Rebecca L. Melton United States Rebecca L. Melton's profile →
Citations per field
00.5×1.5×
Rebecca L. Melton · 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

8 of 8 papers shown
#Work
1
Interpreting type 1 diabetes risk with genetics and single-cell epigenomics
Hit paper breakdown →
2021229
2 202120
3 202410
4 20212
5 20232
6 20251
7 20250
8 20260

About Elisha Beebe

Elisha Beebe is a scholar working on Infectious Diseases, Hematology, Genetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 8 papers that have together received 264 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (3 papers), COVID-19 Clinical Research Studies (2 papers), Diabetes Management and Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Protein Degradation and Inhibitors (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Sepsis Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (136 citations), Endocrinology, Diabetes and Metabolism (53 citations), Surgery (69 citations), Immunology (30 citations) and Biological Psychiatry (3 citations). Elisha Beebe has collaborated with scholars based in United States, Sweden and South Africa. Frequent co-authors include Kyle J. Gaulton, Joshua Chiou, Paola Benaglio, Mei-Lin Okino, Alexander Kleger, Serina Huang, Sebastian Preißl, Katha Korgaonkar, Maike Sander and Sandra Heller. Their work appears in journals such as Nature, PLoS Genetics, Open Forum Infectious Diseases, Epidemiology and Infectious Diseases and Therapy.

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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