Evan Geller

6.0k citations
10 papers · 576 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • Genomics and Chromatin Dynamics 4
    • Single-cell and spatial transcriptomics 3
    • Epigenetics and DNA Methylation 2
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 2

Evan Geller

10 papers receiving 571 citations

Peers

Evan Geller
Comparison fields: 5 of 66
  • Infectious Diseases 219
  • Molecular Biology 338
  • Biophysics 23
  • Aging 7
  • Immunology 71
Replace Ivan H. W. Ng with:
Ivan H. W. Ng Australia
Cristina Di Primio Italy
Atif Towheed United States
Xiechao Zhan China
Bénédicte Desforges France
Cari A. Sagum United States
Emery Smith United States
Jarrod Shilts United Kingdom
Albert T. Chen United States
David Laine France
Evan Geller relative to Ivan H. W. Ng Australia Ivan H. W. Ng's profile →
Citations per field
00.5×3.9×
Ivan H. W. Ng · 1×
Citations per year

Countries citing papers authored by Evan Geller

Since Specialization
Citations

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

Fields of papers citing papers by Evan Geller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020348
2 202069
3 202164
4 201453
5 201820
6 20249
7 20046
8 20115
9 20251
10 20131

About Evan Geller

Evan Geller is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Neurology and Oncology, having authored 10 papers that have together received 576 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), Trace Elements in Health (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Infectious Diseases (219 citations), Molecular Biology (338 citations), Biophysics (23 citations), Aging (7 citations) and Immunology (71 citations). Evan Geller has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Neville E. Sanjana, Peter Smibert, Hans‐Hermann Wessels, Daisy A. Hoagland, Silva Kasela, Zharko Daniloski, Benjamin R. tenOever, Eleni P. Mimitou, Mateusz Legut and Tuuli Lappalainen. Their work appears in journals such as The American Journal of Human Genetics, Annals of Plastic Surgery, Clinical Orthopaedics and Related Research, Nature Communications and Cell Reports.

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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