Peter Ackerman

27 papers receiving 948 citations

Peter Ackerman's Hit Papers

Daclatasvir plus Sofosbuvir for HCV in Patients Coinfected with HIV-1 2015 · 354 citations
3540+3+7Years since publication100200300

Peers

Peter Ackerman
Comparison fields: 5 of 59
  • Hepatology 453
  • Virology 185
  • Infectious Diseases 309
  • Epidemiology 317
  • Neurology 132
Replace Glenda Grossi with:
Glenda Grossi Italy
Leona Dold Germany
Ali Sakhdari Canada
Rosamaria Rosso Italy
M.C. Maillot France
J Maral France
George T. C. Chan New Zealand
Miguel Ángel Vesga Spain
Juliette Rochefort France
Sofie Priem Belgium
Peter Ackerman relative to Glenda Grossi Italy Glenda Grossi's profile →
Citations per field
00.5×2×4×6×8.8×
Glenda Grossi · 1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Daclatasvir plus Sofosbuvir for HCV in Patients Coinfected with HIV-1
Hit paper breakdown →
2015354
2 2006172
3 2020116
4 202066
5 201564
6 201649
7 202018
8 202116
9 202214
10 202013
11 201612
12 201911
13 20219
14 20229
15 20209
16
Monitored viral load: a measure of HIV treatment outcomes in an outpatient setting in Rhode Island.
20147
17 20225
18 20225
19 20225
20 20215

About Peter Ackerman

Peter Ackerman is a scholar working on Virology, Infectious Diseases, Hepatology, Epidemiology and Emergency Medical Services, having authored 29 papers that have together received 971 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (10 papers), HIV/AIDS Research and Interventions (9 papers), Hepatitis C virus research (7 papers), Sarcoma Diagnosis and Treatment (1 paper), Patient Safety and Medication Errors (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and HIV, Drug Use, Sexual Risk (1 paper). The work is most often cited by research in Hepatology (453 citations), Virology (185 citations), Infectious Diseases (309 citations), Epidemiology (317 citations) and Neurology (132 citations). Peter Ackerman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Cyril Llamoso, Max Lataillade, Mindy He Magee, Margaret J. Gartland, Amy Pierce, Dawn E. Quelle, Anil Goud Jegga, Moti N. Ramgopal, Lan Kluwe and Jon P. Williams. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, New England Journal of Medicine, British Journal of Clinical Pharmacology and Hepatology International.

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.

Explore authors with similar magnitude of impact