Sheldon D. Weed

694 citations
21 papers · 615 · h-index 13

Impact in

  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research
    • Virology and Viral Diseases
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Herpesvirus Infections and Treatments 6
    • Virology and Viral Diseases 3
    • Cytomegalovirus and herpesvirus research 2
    • Quinazolinone synthesis and applications 4
    • Synthesis and biological activity 3

Sheldon D. Weed

21 papers receiving 496 citations

Peers

Sheldon D. Weed
Comparison fields: 5 of 85
  • Epidemiology 289
  • Immunology 149
  • Statistics and Probability 52
  • Virology 24
  • Parasitology 31
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Citations per field
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Citations per year

Countries citing papers authored by Sheldon D. Weed

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon D. Weed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Sheldon D. Weed, 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 Sheldon D. Weed Line = papers co-authored together Sheldon D. Weed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987154
2 197366
3 197447
4 198047
5 198544
6 197638
7 196437
8 198034
9 197926
10 198320
11 198218
12 195918
13 196014
14 197710
15 19669
16 19777
17 19617
18 19566
19 19805
20 19665

About Sheldon D. Weed

Sheldon D. Weed is a scholar working on Epidemiology, Organic Chemistry, Immunology, Genetics and Infectious Diseases, having authored 21 papers that have together received 615 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Quinazolinone synthesis and applications (4 papers), Virus-based gene therapy research (4 papers), Virology and Viral Diseases (3 papers), Insect and Pesticide Research (3 papers), Synthesis and biological activity (3 papers), interferon and immune responses (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Epidemiology (289 citations), Immunology (149 citations), Statistics and Probability (52 citations), Virology (24 citations) and Parasitology (31 citations). Sheldon D. Weed has collaborated with scholars based in United States. Frequent co-authors include G. E. Underwood, Dale A. Stringfellow, Gary Elfring, John R. Schultz, M E Whealy, Michael Levine, Harvey I. Skulnick, Joseph C. Glorioso, L E Holland and A K Robbins. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Immunology, Journal of Medicinal Chemistry, Experimental Biology and Medicine and Journal of Virology.

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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