Kurt Lang
Impact in
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
- Molecular Biology top 5%
- Signaling Pathways in Disease
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- Heat shock proteins research
Papers in
-
- Signaling Pathways in Disease 4
- Protein Structure and Dynamics 4
- Metabolism, Diabetes, and Cancer 3
- Oncology 3
- Co-authors
- Brigitte Wittmann‐Liebold (1 shared paper)Franz X. Schmid (1 shared paper)Günter Fischer (1 shared paper)Franz X. Schmid (7 shared papers)Gunter Fischer (2 shared papers)Ulrike Leser (2 shared papers)Yoshihide Nakao (1 shared paper)Subburaman Mohan (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Nature (3 papers)Journal of Molecular Biology (2 papers)Pharmaceutical Research (1 paper)Tissue Engineering (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kurt Lang
17 papers receiving 2.3k citations
Kurt Lang's Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 690
- Molecular Biology 2.0k
- Oncology 601
- Endocrinology, Diabetes and Metabolism 271
- Virology 67
Countries citing papers authored by Kurt Lang
This map shows the geographic impact of Kurt Lang'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 Kurt Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt Lang more than expected).
Fields of papers citing papers by Kurt Lang
This network shows the impact of papers produced by Kurt Lang. 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 Kurt Lang. The network helps show where Kurt Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kurt Lang, 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 | Cyclophilin and peptidyl-prolyl cis-trans isomerase are probably identical proteins Hit paper breakdown → | 1989 | 1190 |
| 2 | 1987 | 390 | |
| 3 | 1995 | 261 | |
| 4 | 1997 | 108 | |
| 5 | 1988 | 86 | |
| 6 | 2001 | 76 | |
| 7 | 2005 | 65 | |
| 8 | 1993 | 61 | |
| 9 | 1998 | 39 | |
| 10 | 2013 | 24 | |
| 11 | 1986 | 23 | |
| 12 | 1990 | 19 | |
| 13 | 1996 | 18 | |
| 14 | 2002 | 18 | |
| 15 | 1986 | 18 | |
| 16 | 1986 | 17 | |
| 17 | 2002 | 7 |
About Kurt Lang
Kurt Lang is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 17 papers that have together received 2.4k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), Protein Structure and Dynamics (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Enzyme Structure and Function (3 papers), Bacterial Genetics and Biotechnology (2 papers), Transgenic Plants and Applications (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Immunology (690 citations), Molecular Biology (2.0k citations), Oncology (601 citations), Endocrinology, Diabetes and Metabolism (271 citations) and Virology (67 citations). Kurt Lang has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Brigitte Wittmann‐Liebold, Franz X. Schmid, Günter Fischer, Franz X. Schmid, Gunter Fischer, Ulrike Leser, Yoshihide Nakao, Subburaman Mohan, David J. Baylink and Yoko Honda. Their work appears in journals such as Journal of Biological Chemistry, Nature, Journal of Molecular Biology, Pharmaceutical Research and Tissue Engineering.
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.