Jonathan Zurawski

1.1k total citations
33 papers, 402 citations indexed

About

Jonathan Zurawski is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Jonathan Zurawski has authored 33 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pathology and Forensic Medicine, 9 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Jonathan Zurawski's work include Multiple Sclerosis Research Studies (28 papers), Peripheral Neuropathies and Disorders (5 papers) and Polyomavirus and related diseases (4 papers). Jonathan Zurawski is often cited by papers focused on Multiple Sclerosis Research Studies (28 papers), Peripheral Neuropathies and Disorders (5 papers) and Polyomavirus and related diseases (4 papers). Jonathan Zurawski collaborates with scholars based in United States, Austria and Singapore. Jonathan Zurawski's co-authors include Rohit Bakshi, Brian C. Healy, Hans Lassmann, Howard L. Weiner, Bonnie I. Glanz, Tanuja Chitnis, Shahamat Tauhid, David L. Turner, Anne B. Vojtek and Fariha Khalid and has published in prestigious journals such as The Lancet, Journal of Neuroscience and Neurology.

In The Last Decade

Jonathan Zurawski

30 papers receiving 398 citations

Peers

Jonathan Zurawski
Comparison fields: 5 of 66
  • Pathology and Forensic Medicine 249
  • Neurology 125
  • Molecular Biology 79
  • Rheumatology 62
  • Oncology 55
Elisabetta Signoriello Italy
Virginia Meca‐Lallana Spain
Alessandro Dinoto Italy
Antonio Cortese Italy
Fen Bao United States
Damiano Baroncini Italy
Laia Grau‐López Spain
D. Farina Italy
Mareike Schimmel Germany
Laurent Kremer France
Elisabetta Signoriello Italy View profile →
Citations per field, relative to Jonathan Zurawski
Jonathan Zurawski · 1×
Citations per year, relative to Jonathan Zurawski
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Countries citing papers authored by Jonathan Zurawski

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Zurawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Zurawski

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Zurawski. A scholar is included among the top collaborators of Jonathan Zurawski 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 Jonathan Zurawski. Jonathan Zurawski 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
# Work Indexed citations
1 9
2 1
3 0
4 0
5 4
6 6
7 2
8 25
9 17
10 2
11 8
12 11
13 1
14 15
15 21
16 48
17 16
18 12
19 16
20 36

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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