Barbara Mathä
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
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- Chemical Synthesis and Analysis
- RNA Interference and Gene Delivery
- Biochemical and Structural Characterization
- Angiogenesis and VEGF in Cancer
Papers in ⓘ
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- Cell Adhesion Molecules Research 1
- Co-authors
- Horst Kessler (6 shared papers)Alfred Jonczyk (1 shared paper)Simon L. Goodman (1 shared paper)Elisabeth Lohof (1 shared paper)Eckart Planker (1 shared paper)Günter Hölzemann (1 shared paper)Michael A. Dechantsreiter (1 shared paper)Chaim Gilon (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Biopolymers (1 paper)Journal of Peptide Science (1 paper)Liebigs Annalen (1 paper)International journal of peptide & protein research (1 paper)
In The Last Decade
Barbara Mathä
7 papers receiving 830 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Immunology and Allergy 373
- Molecular Biology 562
- Radiology, Nuclear Medicine and Imaging 188
- Oncology 153
- Organic Chemistry 156
Countries citing papers authored by Barbara Mathä
This map shows the geographic impact of Barbara Mathä'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 Barbara Mathä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Mathä more than expected).
Fields of papers citing papers by Barbara Mathä
This network shows the impact of papers produced by Barbara Mathä. 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 Barbara Mathä. The network helps show where Barbara Mathä may publish in the future.
Co-authors
The 22 scholars most cited alongside Barbara Mathä, 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 | N-Methylated Cyclic RGD Peptides as Highly Active and Selective αVβ3Integrin Antagonists Hit paper breakdown → | 1999 | 721 |
| 2 | 1998 | 45 | |
| 3 | 1998 | 44 | |
| 4 | 1997 | 12 | |
| 5 | 1995 | 9 | |
| 6 | 1996 | 7 | |
| 7 | 1999 | 3 |
About Barbara Mathä
Barbara Mathä is a scholar working on Immunology and Allergy, Biotechnology, Cellular and Molecular Neuroscience, Animal Science and Zoology and Oncology, having authored 7 papers that have together received 841 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers), Coccidia and coccidiosis research (1 paper), Biochemical and Structural Characterization (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Neuropeptides and Animal Physiology (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology and Allergy (373 citations), Molecular Biology (562 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Oncology (153 citations) and Organic Chemistry (156 citations). Barbara Mathä has collaborated with scholars based in Germany, Israel and France. Frequent co-authors include Horst Kessler, Alfred Jonczyk, Simon L. Goodman, Elisabeth Lohof, Eckart Planker, Günter Hölzemann, Michael A. Dechantsreiter, Chaim Gilon, Sanjeev Munshi and Sergei Gulnik. Their work appears in journals such as Journal of Medicinal Chemistry, Biopolymers, Journal of Peptide Science, Liebigs Annalen and International journal of peptide & protein research.
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.