Carl Wild

4.9k citations
36 papers · 3.8k indexed · 1 hit paper · h-index 26

Impact in

  • Virology top 0.1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 27
    • HIV/AIDS drug development and treatment 26
    • HIV/AIDS Research and Interventions 4

Carl Wild

36 papers receiving 3.7k citations

Hit Papers

Peptides corresponding to a predictive alpha-helical domain of human immunodeficiency virus type 1 gp41 are potent inhibitors of virus infection. 1994 · 804 citations
8041994202620042015250500750

Peers

Carl Wild
Comparison fields: 5 of 96
  • Virology 2.6k
  • Infectious Diseases 1.9k
  • Immunology 952
  • Hepatology 219
  • Epidemiology 762
Replace Stephen R. Petteway with:
Stephen R. Petteway United States
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Carl Wild relative to Stephen R. Petteway United States Stephen R. Petteway's profile →
Citations per field
00.5×4.4×
Stephen R. Petteway · 1×
Citations per year

Countries citing papers authored by Carl Wild

Since Specialization
Citations

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

Fields of papers citing papers by Carl Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl Wild. 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 Carl Wild. The network helps show where Carl Wild may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20211
3 201617
4 201542
5 200935
6 200736
7 200698
8 200656
9 200541
10
HIV-1 assembly and budding as targets for drug discovery.
200516
11 200418
12 200449
13 200423
14 200342
15 20017
16 2001127
17 1998440
18 199454
19 1994180
20 199172

About Carl Wild

Carl Wild is a scholar working on Virology, Infectious Diseases, Immunology, Organic Chemistry and Epidemiology, having authored 36 papers that have together received 3.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), HIV/AIDS drug development and treatment (26 papers), Herpesvirus Infections and Treatments (7 papers), Carbohydrate Chemistry and Synthesis (7 papers), HIV/AIDS Research and Interventions (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Virology (2.6k citations), Infectious Diseases (1.9k citations), Immunology (952 citations), Hepatology (219 citations) and Epidemiology (762 citations). Carl Wild has collaborated with scholars based in United States, India and China. Frequent co-authors include Thomas J. Matthews, Charlene McDanal, D C Shugars, Carol D. Weiss, Rika A. Furuta, Yongkai Weng, Terrence G. Oas, Dani P. Bolognesi, Graham P. Allaway and Karl Salzwedel. Their work appears in journals such as Journal of Virology, Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy and Journal of Medicinal Chemistry.

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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2026