Jef Raus

6.7k citations
155 papers · 5.8k · h-index 42

Impact in

Papers in

    • Immunotherapy and Immune Responses 40
    • T-cell and B-cell Immunology 38
    • Immune Cell Function and Interaction 12
    • Tryptophan and brain disorders 17

Jef Raus

149 papers receiving 5.5k citations

Peers

Jef Raus
Comparison fields: 5 of 134
  • Biological Psychiatry 1.1k
  • Behavioral Neuroscience 814
  • Immunology 2.0k
  • Pathology and Forensic Medicine 1.2k
  • Neurology 386
Replace Mitsuru Seishima with:
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Jef Raus relative to Mitsuru Seishima Japan Mitsuru Seishima's profile →
Citations per field
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Mitsuru Seishima · 1×
Citations per year

Countries citing papers authored by Jef Raus

Since Specialization
Citations

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

Fields of papers citing papers by Jef Raus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994459
2 1991246
3 1992242
4 1993235
5 2006164
6 1997163
7 2008148
8 1997139
9 2004135
10 1992121
11 2001117
12 2004117
13 2005109
14 1995106
15 1995103
16
Phenotypic analysis of tumor-infiltrating lymphocytes from human breast cancer.
1992101
17 199799
18 199195
19 200294
20 198990

About Jef Raus

Jef Raus is a scholar working on Immunology, Biological Psychiatry, Pathology and Forensic Medicine, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 155 papers that have together received 5.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (40 papers), T-cell and B-cell Immunology (38 papers), Multiple Sclerosis Research Studies (28 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Tryptophan and brain disorders (17 papers), Stress Responses and Cortisol (17 papers), Immune Cell Function and Interaction (12 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Biological Psychiatry (1.1k citations), Behavioral Neuroscience (814 citations), Immunology (2.0k citations), Pathology and Forensic Medicine (1.2k citations) and Neurology (386 citations). Jef Raus has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Piet Stinissen, Michael H. J. Maes, Eduard Suy, Carine Vandervorst, Caroline D. B. Vandevyver, Jingwu Zhang, Robert Medaer, E. Bosmans, Bob Minner and Niels Hellings. Their work appears in journals such as Journal of Neuroimmunology, Acta Psychiatrica Scandinavica, The Analyst, Equine Veterinary Journal and Journal of Affective 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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