David L. Evers

1.1k citations
31 papers · 849 · h-index 16

Impact in

Papers in

    • Cytomegalovirus and herpesvirus research 9
    • Herpesvirus Infections and Treatments 6
    • Glycosylation and Glycoproteins Research 5
    • Molecular Biology Techniques and Applications 4
    • RNA Interference and Gene Delivery 3

David L. Evers

31 papers receiving 816 citations

Peers

David L. Evers
Comparison fields: 5 of 105
  • Epidemiology 224
  • Geriatrics and Gerontology 21
  • Molecular Biology 374
  • Parasitology 35
  • Virology 23
Replace Zhenggang Yang with:
Zhenggang Yang China
Jean-Baptiste Mazarati Rwanda
Xavier C. Ding Switzerland
Pa Wu China
Imran Hussain Chowdhury India
Qingqiang Xu China
Mustafa Ulaşlı Türkiye
Sameena M. Khan India
Thawornchai Limjindaporn Thailand
Steven Mazur United States
David L. Evers relative to Zhenggang Yang China Zhenggang Yang's profile →
Citations per field
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Zhenggang Yang · 1×
Citations per year

Countries citing papers authored by David L. Evers

Since Specialization
Citations

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

Fields of papers citing papers by David L. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Evers. 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 David L. Evers. The network helps show where David L. Evers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 2011102
3 200460
4 199951
5 200251
6 201147
7 200442
8 201140
9 200439
10 201737
11 200432
12 200627
13 201427
14 199824
15 201223
16 199919
17 200216
18 200713
19 200813
20 202113

About David L. Evers

David L. Evers is a scholar working on Epidemiology, Molecular Biology, Virology, Parasitology and Immunology, having authored 31 papers that have together received 849 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (6 papers), Glycosylation and Glycoproteins Research (5 papers), Molecular Biology Techniques and Applications (4 papers), RNA Interference and Gene Delivery (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Animal Disease Management and Epidemiology (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Epidemiology (224 citations), Geriatrics and Gerontology (21 citations), Molecular Biology (374 citations), Parasitology (35 citations) and Virology (23 citations). David L. Evers has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Jeffrey T. Mason, Timothy J. O’Leary, Eng‐Shang Huang, Carol B. Fowler, Xin Wang, Shu‐Mei Huong, Kevin G. Rice, Zhigang Zhang, Brady R. Cunningham and Leroy B. Townsend. Their work appears in journals such as Antiviral Research, Antimicrobial Agents and Chemotherapy, Journal of Molecular Diagnostics, Analytical Biochemistry and Avian 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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