Debra Weih
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Immunology top 10%
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
- Immune Cell Function and Interaction 2
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- NF-κB Signaling Pathways 6
- Co-authors
- Falk Weih (10 shared papers)Z. Buket Yilmaz (1 shared paper)Elke Meier (2 shared papers)Feng Guo (1 shared paper)A Lovas (2 shared papers)Heike Heuer (1 shared paper)Julia Müller (1 shared paper)Veerle Darras (1 shared paper)
- Journals
- PLoS ONE (2 papers)Blood (2 papers)European Journal of Immunology (2 papers)Cell and Tissue Research (1 paper)The FASEB Journal (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Debra Weih
13 papers receiving 561 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 222
- Immunology 289
- Oncology 129
- Endocrinology, Diabetes and Metabolism 68
- Molecular Biology 174
Countries citing papers authored by Debra Weih
This map shows the geographic impact of Debra Weih'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 Debra Weih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Weih more than expected).
Fields of papers citing papers by Debra Weih
This network shows the impact of papers produced by Debra Weih. 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 Debra Weih. The network helps show where Debra Weih may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Weih, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 180 | |
| 2 | 2010 | 69 | |
| 3 | 2009 | 62 | |
| 4 | 2017 | 56 | |
| 5 | 2007 | 44 | |
| 6 | 2012 | 33 | |
| 7 | 2012 | 22 | |
| 8 | 2012 | 21 | |
| 9 | 2008 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2001 | 18 | |
| 12 | 2007 | 13 | |
| 13 | 2013 | 9 |
About Debra Weih
Debra Weih is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 566 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (2 papers), Immune Cell Function and Interaction (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Cancer Research (222 citations), Immunology (289 citations), Oncology (129 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Molecular Biology (174 citations). Debra Weih has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Falk Weih, Z. Buket Yilmaz, Elke Meier, Feng Guo, A Lovas, Heike Heuer, Julia Müller, Veerle Darras, Sooyeon Lee and Marc Riemann. Their work appears in journals such as PLoS ONE, Blood, European Journal of Immunology, Cell and Tissue Research and The FASEB Journal.
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.