Moira McNulty

1.7k citations
70 papers · 1.2k · h-index 18

Impact in

    • HIV/AIDS Research and Interventions
    • COVID-19 Clinical Research Studies
    • HIV/AIDS drug development and treatment
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Moira McNulty

64 papers receiving 1.1k citations

Peers

Moira McNulty
Comparison fields: 5 of 91
  • Infectious Diseases 509
  • Virology 46
  • General Health Professions 206
  • Epidemiology 274
  • Applied Microbiology and Biotechnology 16
Replace Dominika L. Seidman with:
Dominika L. Seidman United States
Victor Akelo United States
Fiona M. Vanobberghen Switzerland
Ann Avery United States
Bich Ngoc Dang United States
Chokechai Rongkavilit United States
Susan Hocevar Adkins United States
Rita Isaac India
Hollie A. Clark United States
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Citations per field
00.5×2×4×5.3×
Dominika L. Seidman · 1×
Citations per year

Countries citing papers authored by Moira McNulty

Since Specialization
Citations

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

Fields of papers citing papers by Moira McNulty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 2019106
3 201694
4 201682
5 201772
6 201548
7 202045
8 201940
9 202429
10 202324
11 202123
12 202423
13 201822
14 202122
15 202121
16 201921
17 202020
18 202020
19 202418
20 202018

About Moira McNulty

Moira McNulty is a scholar working on Infectious Diseases, Epidemiology, Virology, General Health Professions and Microbiology, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (33 papers), HIV, Drug Use, Sexual Risk (16 papers), HIV Research and Treatment (6 papers), Health Policy Implementation Science (4 papers), LGBTQ Health, Identity, and Policy (4 papers), Community Health and Development (3 papers), COVID-19 Clinical Research Studies (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Infectious Diseases (509 citations), Virology (46 citations), General Health Professions (206 citations), Epidemiology (274 citations) and Applied Microbiology and Biotechnology (16 citations). Moira McNulty has collaborated with scholars based in United States, France and South Africa. Frequent co-authors include John Alexis Schneider, Jessica P. Ridgway, Jessica Schmitt, DAVID L. PITRAK, Samantha A. Devlin, Eleanor E. Friedman, Ellen A. Almirol, Nicola Lancki, Monica E. Peek and Nanette Benbow. Their work appears in journals such as Open Forum Infectious Diseases, AIDS and Behavior, JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS and Journal of the International AIDS Society.

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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