Pavle Repovic

2.0k citations
52 papers · 1.0k · h-index 17

Impact in

Papers in

    • Multiple Sclerosis Research Studies 34
    • Cytokine Signaling Pathways and Interactions 5
    • Polyomavirus and related diseases 3
    • Chemokine receptors and signaling 2

Pavle Repovic

50 papers receiving 1.0k citations

Peers

Pavle Repovic
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 360
  • Neurology 144
  • Developmental Neuroscience 62
  • Oncology 210
  • Biological Psychiatry 19
Replace Sara Haghighi with:
Sara Haghighi Sweden
Goeril Karlsson Switzerland
Sriram Ramanan United States
Valérie Jolivel France
Virginie Tardif United States
Cheng‐Chih Hsiao Netherlands
Nicholas J. Gutowski United Kingdom
Sujata Saraswat Ohri United States
Kazumasa Okada Japan
J. Steibel France
Pavle Repovic relative to Sara Haghighi Sweden Sara Haghighi's profile →
Citations per field
00.5×3.3×
Sara Haghighi · 1×
Citations per year

Countries citing papers authored by Pavle Repovic

Since Specialization
Citations

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

Fields of papers citing papers by Pavle Repovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999211
2 201472
3 200066
4 200264
5 200357
6 201750
7 200346
8 202035
9 201935
10 201830
11 201829
12 199728
13 202028
14 199925
15 201125
16 202322
17 202121
18 202116
19 202116
20 200416

About Pavle Repovic

Pavle Repovic is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Neurology and Immunology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (34 papers), Cytokine Signaling Pathways and Interactions (5 papers), Peripheral Neuropathies and Disorders (4 papers), Polyomavirus and related diseases (3 papers), Inflammatory mediators and NSAID effects (2 papers), interferon and immune responses (2 papers), Chemokine receptors and signaling (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (360 citations), Neurology (144 citations), Developmental Neuroscience (62 citations), Oncology (210 citations) and Biological Psychiatry (19 citations). Pavle Repovic has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Etty Benveniste, Nicholas J. Van Wagoner, Jae‐Wook Oh, James D. Bowen, Gary Cutter, Jop Mostert, Bernard M.J. Uitdehaag, Marcus Koch, Chulhee Choi and Kaihong Mi. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, European Journal of Neurology, Journal of Neurology and Multiple Sclerosis and Related Disorders.

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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