Mary E. Pacold

532 citations
15 papers · 438 · h-index 11

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 10
    • HIV/AIDS drug development and treatment 5
    • HIV/AIDS Research and Interventions 2

Mary E. Pacold

15 papers receiving 431 citations

Peers

Mary E. Pacold
Comparison fields: 5 of 41
  • Virology 259
  • Infectious Diseases 235
  • Hepatology 32
  • Epidemiology 88
  • Transplantation 4
Replace Celia Chui with:
Celia Chui Canada
Mariia Novikova United States
Renee Howell United States
Gerardo Contreras Spain
Nicholas Bbosa Uganda
R Swanstrom United States
Yuka Nadai United States
Anne Derache France
Tiina Laukkanen Finland
Makiko Kondo Japan
Mary E. Pacold relative to Celia Chui Canada Celia Chui's profile →
Citations per field
00.5×1.5×
Celia Chui · 1×
Citations per year

Countries citing papers authored by Mary E. Pacold

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Pacold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Pacold. 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 Mary E. Pacold. The network helps show where Mary E. Pacold may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200899
2 201177
3 201340
4 201334
5 201030
6 200728
7 201128
8 201223
9 201317
10 200917
11 201016
12 200810
13 20129
14 20138
15 20062

About Mary E. Pacold

Mary E. Pacold is a scholar working on Virology, Infectious Diseases, Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 438 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (5 papers), Genomics and Phylogenetic Studies (2 papers), HIV/AIDS Research and Interventions (2 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Virology (259 citations), Infectious Diseases (235 citations), Hepatology (32 citations), Epidemiology (88 citations) and Transplantation (4 citations). Mary E. Pacold has collaborated with scholars based in United States, France and Norway. Frequent co-authors include Douglas D. Richman, Davey M. Smith, Sergei L. Kosakovsky Pond, Susan J. Little, Gabriel A. Wagner, Wayne Delport, Susanne May, Jun Yong Choi, Jason A. Young and Sara Gianella. Their work appears in journals such as AIDS, Journal of Virology, Microbial Physiology, The Journal of Infectious Diseases and Journal of Antimicrobial Chemotherapy.

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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