David L. Evers

1.1k citations
28 papers · 766 · h-index 17

Impact in

Papers in

    • Molecular Biology Techniques and Applications 4
    • Glycosylation and Glycoproteins Research 3
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 2
    • Cytomegalovirus and herpesvirus research 9
    • Herpesvirus Infections and Treatments 6

David L. Evers

28 papers receiving 741 citations

Peers

David L. Evers
Comparison fields: 5 of 103
  • Epidemiology 221
  • Geriatrics and Gerontology 21
  • Molecular Biology 350
  • Parasitology 33
  • Virology 22
Replace Qingqiang Xu with:
Qingqiang Xu China
Zhenggang Yang China
Pa Wu China
Imran H. Chowdhury India
Ahmed Atef Mesalam Egypt
Mustafa Ulaşlı Türkiye
Rak-Kyun Seong South Korea
Steven Mazur United States
Vladimir T. Valuev-Elliston Russia
Yali Ci China
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Citations per field
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005117
2 201195
3 200454
4 199948
5 200247
6 201141
7 200439
8 200437
9 201137
10 201733
11 200430
12 200626
13 199823
14 201220
15 199919
16 201417
17 200216
18 200714
19 202111
20 199911

About David L. Evers

David L. Evers is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Organic Chemistry and Virology, having authored 28 papers that have together received 766 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (6 papers), Molecular Biology Techniques and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), HIV Research and Treatment (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Epidemiology (221 citations), Geriatrics and Gerontology (21 citations), Molecular Biology (350 citations), Parasitology (33 citations) and Virology (22 citations). David L. Evers has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Jeffrey T. Mason, Timothy J. O’Leary, Eng‐Shang Huang, Carol B. Fowler, Shu‐Mei Huong, Xin Wang, Zhigang Zhang, Kevin G. Rice, Brady R. Cunningham and Leroy B. Townsend. Their work appears in journals such as Antiviral Research, Antimicrobial Agents and Chemotherapy, Analytical Biochemistry, Journal of Molecular Diagnostics and Journal of Pharmaceutical Sciences.

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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