Ursula Bommhardt

2.8k citations
40 papers · 2.0k indexed · h-index 25

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

Ursula Bommhardt

40 papers receiving 2.0k citations

Peers

Ursula Bommhardt
Comparison fields: 5 of 108
  • Immunology 1.0k
  • Biological Psychiatry 44
  • Oncology 356
  • Dermatology 99
  • Molecular Biology 766
Replace Askar M. Akimzhanov with:
Askar M. Akimzhanov United States
Keting Chu United States
Barbara Walter United States
Michel Dréano Switzerland
Kate O’Brien United States
Song‐Yi Yao United States
Torkel Vang Norway
Nabil Djouder Spain
Jinping An United States
Lakshmi Amaravadi United States
Ursula Bommhardt relative to Askar M. Akimzhanov United States Askar M. Akimzhanov's profile →
Citations per field
00.5×1.5×
Askar M. Akimzhanov · 1×
Citations per year

Countries citing papers authored by Ursula Bommhardt

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Bommhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20226
3 201925
4 2019100
5 2018171
6 201585
7 201253
8 2007240
9 200721
10 200632
11 2004113
12 200431
13 200349
14 200194
15 200050
16 199975
17 199846
18 1997179
19 199514
20 199431

About Ursula Bommhardt

Ursula Bommhardt is a scholar working on Immunology, Biological Psychiatry, Neurology, Oncology and Dermatology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (13 papers), Signaling Pathways in Disease (6 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ion channel regulation and function (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (1.0k citations), Biological Psychiatry (44 citations), Oncology (356 citations), Dermatology (99 citations) and Molecular Biology (766 citations). Ursula Bommhardt has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Burkhart Schraven, Rose Zamoyska, Luca Simeoni, M. Albert Basson, Matthew Lovatt, Amanda G. Fisher, Daniel Graf, Matthias Merkenschlager, Amiya K. Patra and Jonathan A. Lindquist. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Cell Communication and Signaling, The Journal of Experimental Medicine and International Journal of Molecular Sciences.

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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