B. Matija Peterlin

19.4k citations
188 papers · 15.8k indexed · 2 hit papers · h-index 72
Topics
HIV Research and Treatment (105 papers)Immune Cell Function and Interaction (50 papers)HIV/AIDS drug development and treatment (47 papers)

In The Last Decade

B. Matija Peterlin

188 papers receiving 15.6k citations

Hit Papers

Controlling the Elongation Phase of Transcription with...199420262004201520061994250500750

Peers

B. Matija Peterlin
Comparison fields: 5 of 138
  • Molecular Biology 8.3k
  • Virology 7.8k
  • Immunology 5.1k
  • Infectious Diseases 3.6k
  • Epidemiology 2.1k
Replace Janet D. Siliciano with:
Janet D. Siliciano United States
Jeremy Luban United States
Raymond W. Sweet United States
Kuan‐Teh Jeang United States
Fatah Kashanchi United States
C A Rosen United States
Ara G. Hovanessian France
Michael S. Neuberger United Kingdom
Monsef Benkirane France
Vicente Planelles United States
B. Matija Peterlin relative to Janet D. Siliciano United States Janet D. Siliciano's profile →
Citations per field
00.5×1.6×
Janet D. Siliciano · 1×
Citations per year

Countries citing papers authored by B. Matija Peterlin

Since Specialization
Citations

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

Fields of papers citing papers by B. Matija Peterlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Matija Peterlin. 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 B. Matija Peterlin. The network helps show where B. Matija Peterlin may publish in the future.

Co-authorship network of co-authors of B. Matija Peterlin

This figure shows the co-authorship network connecting the top 25 collaborators of B. Matija Peterlin. A scholar is included among the top collaborators of B. Matija Peterlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B. Matija Peterlin. B. Matija Peterlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 70
2 6
3 4
4 7
5 17
6 17
7 37
8 154
9 40
10 122
11
Controlling the Elongation Phase of Transcription with P-TEFbbreakdown →
874
12 41
13 84
14 71
15 218
16 145
17 43
18 22
19 20
20 3

About B. Matija Peterlin

B. Matija Peterlin is a scholar working on Virology, Immunology and Infectious Diseases, having authored 188 papers that have together received 15.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (105 papers), Immune Cell Function and Interaction (50 papers) and HIV/AIDS drug development and treatment (47 papers). The work is most often cited by research in Virology (7.8k citations), Immunology (5.1k citations) and Infectious Diseases (3.6k citations). B. Matija Peterlin has collaborated with scholars based in United States, Slovenia and Germany. Frequent co-authors include David H. Price, Koh Fujinaga, Paul A. Luciw, Matjaž Barborič, Katherine A. Jones, O. Fackler, Matthias Geyer, S. Kanazawa, Yong‐Hui Zheng and Ran Taube. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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