Judith Haas

3.2k citations
59 papers · 1.2k · h-index 19

Impact in

Papers in

Judith Haas

57 papers receiving 1.1k citations

Peers

Judith Haas
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 545
  • Immunology 278
  • Neurology 163
  • Virology 39
  • Oncology 159
Replace Robert Heard with:
Robert Heard Australia
Ute‐Christiane Meier United Kingdom
Gloria von Geldern United States
David H. Mattson United States
Brett T. Lund United States
Klemens Angstwurm Germany
Anna Fogdell‐Hahn Sweden
Djaouïda Bengoufa France
Douglas Young United States
James R. Lehrich United States
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Citations per field
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Citations per year

Countries citing papers authored by Judith Haas

Since Specialization
Citations

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

Fields of papers citing papers by Judith Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 1990110
3 199479
4 200779
5
In vitro desensitization to lipopolysaccharide suppresses tumour necrosis factor, interleukin-1 and interleukin-6 gene expression in a similar fashion.
199279
6 200859
7 201758
8 200248
9 198736
10 200736
11 202132
12 201930
13 200128
14 202026
15 202023
16 200623
17 202023
18 200022
19 200818
20 202217

About Judith Haas

Judith Haas is a scholar working on Pathology and Forensic Medicine, Immunology, Molecular Biology, Hematology and Neurology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (33 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Hereditary Neurological Disorders (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Peripheral Neuropathies and Disorders (4 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (545 citations), Immunology (278 citations), Neurology (163 citations), Virology (39 citations) and Oncology (159 citations). Judith Haas has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include H.W.L. Ziegler-Heitbrock, G. Riethmüller, O. R. Hommes, Uwe K. Zettl, Patrick A. Baeuerle, Peter Flachenecker, David Ellenberger, Alexander Stahmann, Dieter Pöhlau and Paulus Rommer. Their work appears in journals such as Neurology, Journal of Neurology, Multiple Sclerosis and Related Disorders, BMC Neurology and Journal of Neuroimmunology.

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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