Silva Markovic‐Plese

5.1k citations
72 papers · 4.3k · h-index 35

Impact in

Papers in

Silva Markovic‐Plese

71 papers receiving 4.2k citations

Peers

Silva Markovic‐Plese
Comparison fields: 5 of 94
  • Pathology and Forensic Medicine 2.1k
  • Immunology 888
  • Neurology 134
  • Biological Psychiatry 21
  • Virology 50
Replace Martin Duddy with:
Martin Duddy United Kingdom
Frank Weber Germany
Bibiana Bielekova United States
Sylvia Heink Germany
Marcin P. Mycko Poland
Bob W. van Oosten Netherlands
Federica Benvenuto Italy
Paolo Antonio Muraro United Kingdom
Joachim Burman Sweden
Dale E. McFarlin United States
Silva Markovic‐Plese relative to Martin Duddy United Kingdom Martin Duddy's profile →
Citations per field
00.5×2×3×3.8×
Martin Duddy · 1×
Citations per year

Countries citing papers authored by Silva Markovic‐Plese

Since Specialization
Citations

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

Fields of papers citing papers by Silva Markovic‐Plese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silva Markovic‐Plese. 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 Silva Markovic‐Plese. The network helps show where Silva Markovic‐Plese may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994453
2 2004405
3 2004255
4 2001209
5 2009193
6 2008172
7 2013147
8 2008145
9 2011116
10 1995111
11 2012109
12 2008108
13 202188
14 200186
15 201083
16 200982
17 201174
18 201273
19 200169
20 200168

About Silva Markovic‐Plese

Silva Markovic‐Plese is a scholar working on Pathology and Forensic Medicine, Immunology, Virology, Physical Therapy, Sports Therapy and Rehabilitation and Oncology, having authored 72 papers that have together received 4.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (56 papers), Psoriasis: Treatment and Pathogenesis (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (4 papers), HIV Research and Treatment (2 papers), Balance, Gait, and Falls Prevention (2 papers), Virus-based gene therapy research (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.1k citations), Immunology (888 citations), Neurology (134 citations), Biological Psychiatry (21 citations) and Virology (50 citations). Silva Markovic‐Plese has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Xin Zhang, Vinod S. Ramgolam, Roland Martinꝉ, Henry F. McFarland, Jianping Jin, David A. Hafler, Yonggang Sha, Howard L. Weiner, Jef Raus and Yazhong Tao. Their work appears in journals such as The Journal of Immunology, Journal of Neuroimmunology, Neurology, Clinical Immunology and Clinical Neurology and Neurosurgery.

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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