M Kaufmann
- Co-authors
- R. HeinRalf BuettnerAnja‐Katrin BosserhoffW. StolzBrigitte KaluzaIlse BartkeHubert ZirngiblBettina Husen
- Topics
- Ovarian cancer diagnosis and treatment (3 papers)Hormonal Regulation and Hypertension (3 papers)Aldose Reductase and Taurine (2 papers)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
M Kaufmann
16 papers receiving 391 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 240
- Oncology 142
- Immunology 74
- Genetics 73
- Cancer Research 63
Countries citing papers authored by M Kaufmann
This map shows the geographic impact of M Kaufmann'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 M Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kaufmann more than expected).
Fields of papers citing papers by M Kaufmann
This network shows the impact of papers produced by M Kaufmann. 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 M Kaufmann. The network helps show where M Kaufmann may publish in the future.
Co-authorship network of co-authors of M Kaufmann
This figure shows the co-authorship network connecting the top 25 collaborators of M Kaufmann. A scholar is included among the top collaborators of M Kaufmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Kaufmann. M Kaufmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | MIA, a novel serum marker for progression of malignant melanoma. | 23 |
| 6 | 12 | |
| 7 | Association of vascular endothelial growth factor expression with tumor cell proliferation in ovarian carcinoma. | 31 |
| 8 | Melanoma-inhibiting activity, a novel serum marker for progression of malignant melanoma. | 186 |
| 9 | Comparison of estrogen receptor DNA binding in untreated and acquired antiestrogen-resistant human breast tumors. | 40 |
| 10 | Characterization of 17 beta-hydroxysteroid dehydrogenase IV. | 25 |
| 11 | 9 | |
| 12 | 25 | |
| 13 | 3 | |
| 14 | Psammomabody content and DNA-flow cytometric results as prognostic factors in advanced ovarian carcinoma. | 13 |
| 15 | [Comparison of binding patterns of established and new monoclonal antibodies, of antisera and lectins with impulse cytophotometric and morphometric parameters and the hormone receptor status of breast cancer]. | 2 |
| 16 | 4 |
About M Kaufmann
M Kaufmann is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 16 papers that have together received 406 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (3 papers), Hormonal Regulation and Hypertension (3 papers) and Aldose Reductase and Taurine (2 papers). The work is most often cited by research in Immunology and Allergy (53 citations), Reproductive Medicine (62 citations) and Oncology (142 citations). M Kaufmann has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include R. Hein, Ralf Buettner, Anja‐Katrin Bosserhoff, W. Stolz, Brigitte Kaluza, Ilse Bartke, Hubert Zirngibl, Bettina Husen, Jerzy Adamski and J Mattern. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Annals of the New York Academy of 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.