Daniel A. Pollard

1.0k citations
6 papers · 765 · h-index 5

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Genomics and Phylogenetic Studies
    • PI3K/AKT/mTOR signaling in cancer
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Metabolism, Diabetes, and Cancer
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Cell death mechanisms and regulation 1
    • Bioinformatics and Genomic Networks 1
    • Protist diversity and phylogeny 1
    • Metabolism, Diabetes, and Cancer 1
    • Genetic diversity and population structure 1
    • Diabetes and associated disorders 1

Daniel A. Pollard

6 papers receiving 751 citations

Peers

Daniel A. Pollard
Comparison fields: 5 of 72
  • Genetics 248
  • Molecular Biology 539
  • Paleontology 38
  • Ecology, Evolution, Behavior and Systematics 83
  • Aging 7
Replace Sergio González‐Crespo with:
Sergio González‐Crespo Spain
Jong Fu Wong United Kingdom
Carola Burgtorf Germany
Cornelia Schmidt Germany
Zhirui Hu United States
A.M. Dutrillaux France
Olga V. Anatskaya Russia
Maxine Allen United Kingdom
Fei Ma China
Vincent Laudet France
Daniel A. Pollard relative to Sergio González‐Crespo Spain Sergio González‐Crespo's profile →
Citations per field
00.5×1.5×2.1×
Sergio González‐Crespo · 1×
Citations per year

Countries citing papers authored by Daniel A. Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniel A. Pollard, 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 Daniel A. Pollard Line = papers co-authored together Daniel A. Pollard links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2006307
2 2000241
3 2004113
4 200497
5 20234
6 20213

About Daniel A. Pollard

Daniel A. Pollard is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Ecology and Aging, having authored 6 papers that have together received 765 indexed citations. Recurring topics across this work include Genetic diversity and population structure (1 paper), Diabetes and associated disorders (1 paper), Cell death mechanisms and regulation (1 paper), Bioinformatics and Genomic Networks (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Protist diversity and phylogeny (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Genetics (248 citations), Molecular Biology (539 citations), Paleontology (38 citations), Ecology, Evolution, Behavior and Systematics (83 citations) and Aging (7 citations). Daniel A. Pollard has collaborated with scholars based in United States, Germany and Slovakia. Frequent co-authors include Michael B. Eisen, Alan M Moses, Venky N. Iyer, Roderick T. Bronson, Claudine M. Yballe, Derek P. Brazil, David A. Fruman, Lewis C. Cantley, Derek Y. Chiang and Casey Bergman. Their work appears in journals such as Molecular Biology of the Cell, Nature Genetics, PLoS Genetics, Genetics and Genome biology.

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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