Peter Aka

22 papers receiving 1.1k citations

Peers

Peter Aka
Comparison fields: 5 of 82
  • Cancer Research 509
  • Hepatology 75
  • Radiology, Nuclear Medicine and Imaging 103
  • Pathology and Forensic Medicine 68
  • Oncology 78
Replace Xue–Yuan Dong with:
Xue–Yuan Dong United States
Kaiissar Mannoor Bangladesh
Shou‐Hwa Han Taiwan
Nasr Eldin Elwali Sudan
Michael Goldstein United States
Ya Wen Cheng Taiwan
M L Berman United States
Christina Kunz Germany
Susan C. Aitken United States
Karen Honey United States
Peter Aka relative to Xue–Yuan Dong United States Xue–Yuan Dong's profile →
Citations per field
00.5×2×2.8×
Xue–Yuan Dong · 1×
Citations per year

Countries citing papers authored by Peter Aka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Aka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006288
2 2000116
3 2004113
4 201282
5 200680
6 201380
7 200762
8 200547
9 201247
10 201442
11 201235
12 201535
13 201332
14 201826
15 201223
16 201920
17 201714
18 200510
19 201410
20 20148

About Peter Aka

Peter Aka is a scholar working on Cancer Research, Oncology, Public Health, Environmental and Occupational Health, Hepatology and Immunology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), Malaria Research and Control (5 papers), Viral-associated cancers and disorders (4 papers), Hepatitis B Virus Studies (4 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Cancer Research (509 citations), Hepatology (75 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Pathology and Forensic Medicine (68 citations) and Oncology (78 citations). Peter Aka has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Micheline Kirsch‐Volders, Raluca Mateuca, Ilse Decordier, Noömi Lombaert, Marlies De Boeck, Nadia Touil, Geofrey De Visscher, Hubert Thierens, Jean‐Pierre Buchet and Lode Godderis. Their work appears in journals such as The Journal of Infectious Diseases, PLoS ONE, Mutagenesis, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Blood.

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