D. Teitelbaum

409 citations
15 papers · 323 · h-index 9

Impact in

Papers in

D. Teitelbaum

14 papers receiving 308 citations

Peers

D. Teitelbaum
Comparison fields: 5 of 57
  • Immunology 170
  • Pathology and Forensic Medicine 138
  • Neurology 69
  • Rheumatology 67
  • Neurology 25
Replace Manuel San with:
Manuel San United States
S. Galgani Italy
Tadashi Namikawa Japan
Sonja Ortler Germany
David D. Hebrink United States
Christopher LaGanke United States
Claudia Luther Germany
Morten Stilund Denmark
М. А. Судомоина Russia
René M. Gieß Germany
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Citations per year

Countries citing papers authored by D. Teitelbaum

Since Specialization
Citations

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

Fields of papers citing papers by D. Teitelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside D. Teitelbaum, 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 D. Teitelbaum Line = papers co-authored together D. Teitelbaum links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 198269
2 199169
3 199552
4 199638
5 197232
6 198117
7
Suppression of experimental allergic encephalomyelitis by COP1--relevance to multiple sclerosis.
198913
8
Association with autoimmune diseases and cellular immune response to the neuritogenic protein in Guillain-Barré syndrome.
198013
9 199711
10
Cell-mediated immunity to nervous system antigens in diabetic patients with neuropathy.
19833
11 19972
12 19951
13
Immunospecific drug design--prospects for treatment of autoimmune diseases.
19941
14 19971
15 19981

About D. Teitelbaum

D. Teitelbaum is a scholar working on Immunology, Pathology and Forensic Medicine, Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Multiple Sclerosis Research Studies (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Response and Inflammation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Diabetes and associated disorders (2 papers), interferon and immune responses (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Immunology (170 citations), Pathology and Forensic Medicine (138 citations), Neurology (69 citations), Rheumatology (67 citations) and Neurology (25 citations). D. Teitelbaum has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Michael Sela, Ruth Arnon, Rina Aharoni, Murray B. Bornstein, Ruth Arnon, A. Afek, Yehuda Shoenfeld, Juri Kopolovic, Miri Blank and Iris Goldberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the Neurological Sciences, Journal of Neuroimmunology, The Journal of Immunology and Nature.

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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