William D. Graham

1.3k citations
20 papers · 780 · h-index 12

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Cancer-related gene regulation

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 7
    • RNA Research and Splicing 3
    • Genomics and Phylogenetic Studies 2

William D. Graham

17 papers receiving 773 citations

Peers

William D. Graham
Comparison fields: 5 of 93
  • Virology 56
  • Molecular Biology 609
  • Infectious Diseases 39
  • Cancer Research 27
  • Oncology 46
Replace Fiona McDougall with:
Fiona McDougall Australia
Lily Chen United States
Mariano Avino Canada
Yuan Dong China
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Citations per field
00.5×3.8×
Fiona McDougall · 1×
Citations per year

Countries citing papers authored by William D. Graham

Since Specialization
Citations

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

Fields of papers citing papers by William D. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Graham. 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 William D. Graham. The network helps show where William D. Graham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006430
2 201554
3 200848
4 201044
5 200842
6 200828
7 200128
8 201120
9 201718
10 201418
11 201317
12 199512
13 19588
14 19626
15 19573
16 20092
17
Growing Degree Vegetation Production Index (GDVPI): A Novel and Data-Driven Approach to Delimit Season Cycles
20141
18 20001
19 20090
20 19870

About William D. Graham

William D. Graham is a scholar working on Molecular Biology, Epidemiology, Global and Planetary Change, Infectious Diseases and Virology, having authored 20 papers that have together received 780 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (3 papers), HIV Research and Treatment (2 papers), Genomics and Phylogenetic Studies (2 papers), Radiation Effects and Dosimetry (2 papers), Meat and Animal Product Quality (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Virology (56 citations), Molecular Biology (609 citations), Infectious Diseases (39 citations), Cancer Research (27 citations) and Oncology (46 citations). William D. Graham has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Paul F. Agris, Franck A. P. Vendeix, Estella M. Gustilo, Ronald Swanstrom, Brian S. Sproat, Andrzej Małkiewicz, Eileen Stewart, W. Colin McRoberts, John T. G. Hamilton and Shuntai Zhou. Their work appears in journals such as Journal of Molecular Biology, Nucleic Acids Research, Journal of the Science of Food and Agriculture, Current topics in microbiology and immunology and Analytical Biochemistry.

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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