Jan Hillert

36.4k citations
365 papers · 14.3k indexed · 1 hit paper · h-index 63

Jan Hillert

359 papers receiving 14.0k citations

Hit Papers

Infection Risks Among Patients With Multiple Sclerosis Tr...3462019202620212023100200300

Peers

Jan Hillert
Comparison fields: 5 of 152
  • Pathology and Forensic Medicine 8.5k
  • Immunology 4.8k
  • Rheumatology 2.4k
  • Neurology 2.3k
  • Neurology 798
Replace Peter Rieckmann with:
Peter Rieckmann Germany
Olaf Stüve United States
Finn Sellebjerg Denmark
Alasdair Coles United Kingdom
Elliot M. Frohman United States
Jorge R. Oksenberg United States
Annette Langer‐Gould United States
Stephen L. Hauser United States
Manuel Comabella Spain
Stephen L. Hauser United States
Jan Hillert relative to Peter Rieckmann Germany Peter Rieckmann's profile →
Citations per field
00.5×2.9×
Peter Rieckmann · 1×
Citations per year

Countries citing papers authored by Jan Hillert

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hillert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20242
4 20243
5 20240
6 202410
7 20241
8 20240
9 20233
10 20231
11 20224
12 20226
13 20221
14 20224
15 20222
16 20213
17 202017
18 201975
19 201336
20 200938

About Jan Hillert

Jan Hillert is a scholar working on Pathology and Forensic Medicine, Immunology, Neurology, Rheumatology and Oncology, having authored 365 papers that have together received 14.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (270 papers), T-cell and B-cell Immunology (61 papers), Immunotherapy and Immune Responses (52 papers), Peripheral Neuropathies and Disorders (43 papers), Systemic Sclerosis and Related Diseases (39 papers), Systemic Lupus Erythematosus Research (34 papers), Polyomavirus and related diseases (33 papers) and Monoclonal and Polyclonal Antibodies Research (20 papers). The work is most often cited by research in Pathology and Forensic Medicine (8.5k citations), Immunology (4.8k citations), Rheumatology (2.4k citations), Neurology (2.3k citations) and Neurology (798 citations). Jan Hillert has collaborated with scholars based in Sweden, United Kingdom and Denmark. Frequent co-authors include Tomas Olsson, Olle Olerup, Lars Alfredsson, Thomas Masterman, Ingrid Kockum, Anna Karin Hedström, Ali Manouchehrinia, Wenxin Huang, Fredrik Piehl and Bing He. Their work appears in journals such as Multiple Sclerosis Journal, Journal of Neuroimmunology, European Journal of Neurology, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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