Edward E. Large

594 citations
19 papers · 474 · h-index 13

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

    • Virus-based gene therapy research 5
    • Evolution and Genetic Dynamics 3
    • Genetics, Aging, and Longevity in Model Organisms 2

Edward E. Large

18 papers receiving 458 citations

Peers

Edward E. Large
Comparison fields: 5 of 48
  • Aging 37
  • Parasitology 30
  • Genetics 115
  • Molecular Biology 219
  • Small Animals 16
Replace Vladimir Lažetić with:
Vladimir Lažetić United States
Johanna L. Whitacre United States
Mark Spensley Canada
Jérôme Belougne France
Momoyo Hanazawa United States
Pliny A. Smith United States
Mary B. Kroetz United States
Chih-Yung Sean Lee United States
Andrea Hinas Sweden
Elizabeth A. Malone United States
Edward E. Large relative to Vladimir Lažetić United States Vladimir Lažetić's profile →
Citations per field
00.5×2×3×4×4.6×
Vladimir Lažetić · 1×
Citations per year

Countries citing papers authored by Edward E. Large

Since Specialization
Citations

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

Fields of papers citing papers by Edward E. Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward E. Large. 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 Edward E. Large. The network helps show where Edward E. Large may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200388
2 200352
3 202142
4 201841
5 200438
6 201833
7 200629
8 201629
9 202023
10 201420
11 201719
12 200616
13 200913
14 202310
15 20228
16 20076
17 20206
18 20061
19 20070

About Edward E. Large

Edward E. Large is a scholar working on Genetics, Aging, Molecular Biology, Pulmonary and Respiratory Medicine and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Developmental Biology and Gene Regulation (4 papers), Evolution and Genetic Dynamics (3 papers), Respiratory and Cough-Related Research (3 papers), Animal Behavior and Reproduction (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Neurobiology and Insect Physiology Research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Aging (37 citations), Parasitology (30 citations), Genetics (115 citations), Molecular Biology (219 citations) and Small Animals (16 citations). Edward E. Large has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Michael Stewart Chapman, Laura D. Mathies, David S. Fay, Brian A. Hemmings, Shibani Bhattacharya, Claus W. Heizmann, Walter Chazin, Grant M. Zane, Min Han and Wen Xie Xu. Their work appears in journals such as Viruses, PLoS Genetics, Developmental Biology, American Journal of Veterinary Research and Journal of Wildlife 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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