Peter Ackerman

1.3k citations
30 papers · 535 · h-index 11

Impact in

Papers in

    • HIV/AIDS drug development and treatment 14
    • HIV/AIDS Research and Interventions 9
    • HIV Research and Treatment 13

Peter Ackerman

29 papers receiving 526 citations

Peers

Peter Ackerman
Comparison fields: 5 of 56
  • Virology 136
  • Hepatology 122
  • Infectious Diseases 196
  • Neurology 122
  • Epidemiology 128
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Paul Cernohous United States
Rebeka Bordi United States
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Ana Serra‐Caetano Portugal
Matthieu Carrière France
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Aggrey Nyongo Kenya
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Citations per field
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Citations per year

Countries citing papers authored by Peter Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 2020103
3 201555
4 201645
5 201519
6 202017
7 202114
8 202012
9 201911
10 202211
11 201911
12 202110
13 201610
14 20178
15 20228
16
Monitored viral load: a measure of HIV treatment outcomes in an outpatient setting in Rhode Island.
20147
17 20207
18 20225
19 20224
20 20213

About Peter Ackerman

Peter Ackerman is a scholar working on Infectious Diseases, Virology, Hepatology, Epidemiology and Emergency Medicine, having authored 30 papers that have together received 535 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (14 papers), HIV Research and Treatment (13 papers), HIV/AIDS Research and Interventions (9 papers), Hepatitis C virus research (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Virology (136 citations), Hepatology (122 citations), Infectious Diseases (196 citations), Neurology (122 citations) and Epidemiology (128 citations). Peter Ackerman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Cyril Llamoso, Mindy Magee, Max Lataillade, Anne F. Luetkemeyer, Stephanie Noviello, Margaret Gartland, Amy Pierce, Silke Frahm, Nancy Ratner and Arie Perry. Their work appears in journals such as Open Forum Infectious Diseases, Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, AIDS and Journal of Hepatology.

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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