M-L Hansmann

1.3k citations
23 papers · 902 · h-index 13

Impact in

Papers in

M-L Hansmann

22 papers receiving 887 citations

Peers

M-L Hansmann
Comparison fields: 5 of 56
  • Pathology and Forensic Medicine 465
  • Genetics 149
  • Immunology 294
  • Oncology 340
  • Dermatology 70
Replace K Weber-Matthiesen with:
K Weber-Matthiesen Germany
Jun Takizawa Japan
Simona Righi Italy
Zhong-Jun Xia China
Klaus Willenbrock Germany
Barbara Gamberi Italy
R. Heinz Austria
Lindsey K. Goff United Kingdom
Patrocinio Algara Spain
Huaizheng Peng United Kingdom
M-L Hansmann relative to K Weber-Matthiesen Germany K Weber-Matthiesen's profile →
Citations per field
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K Weber-Matthiesen · 1×
Citations per year

Countries citing papers authored by M-L Hansmann

Since Specialization
Citations

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

Fields of papers citing papers by M-L Hansmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M-L Hansmann. 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-L Hansmann. The network helps show where M-L Hansmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996133
2 2007125
3 200999
4 201289
5 200876
6 199460
7 201560
8 198759
9 200744
10 201742
11 201235
12 200934
13 201613
14 20059
15
Radiofrequency ablation of experimental bone metastases in nude rats.
20088
16
Expression of the CD2AP adaptor molecule in normal, reactive and neoplastic human tissue.
20124
17 19833
18
Immunohistochemical analysis of immunocompetent cells involved in small-bowel rejection in the rat.
19903
19 19872
20 19902

About M-L Hansmann

M-L Hansmann is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Molecular Biology and Surgery, having authored 23 papers that have together received 902 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (2 papers), Viral-associated cancers and disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (465 citations), Genetics (149 citations), Immunology (294 citations), Oncology (340 citations) and Dermatology (70 citations). M-L Hansmann has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Ralf Küppers, Claudia Döring, Sylvia Hartmann, Ursula Kapp, Volker Diehl, Klaus Rajewsky, Holger Kanzler, W. Klapper, Juergen Wolf and Andreas Bräuninger. Their work appears in journals such as Leukemia, Blood, Haematologica, Current topics in pathology and Journal of Clinical Pathology.

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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