Martin‐Leo Hansmann

17.5k total citations · 4 hit papers
247 papers, 10.8k citations indexed

About

Martin‐Leo Hansmann is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Martin‐Leo Hansmann has authored 247 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Pathology and Forensic Medicine, 95 papers in Oncology and 78 papers in Immunology. Recurrent topics in Martin‐Leo Hansmann's work include Lymphoma Diagnosis and Treatment (152 papers), Chronic Lymphocytic Leukemia Research (51 papers) and Viral-associated cancers and disorders (41 papers). Martin‐Leo Hansmann is often cited by papers focused on Lymphoma Diagnosis and Treatment (152 papers), Chronic Lymphocytic Leukemia Research (51 papers) and Viral-associated cancers and disorders (41 papers). Martin‐Leo Hansmann collaborates with scholars based in Germany, United States and Switzerland. Martin‐Leo Hansmann's co-authors include Ralf Küppers, Klaus Rajewsky, Andreas Bräuninger, Ulf Klein, Holger Kanzler, Min Zhao, Sylvia Hartmann, Klaus Willenbrock, Volker Diehl and Claudia Döring and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Martin‐Leo Hansmann

240 papers receiving 10.5k citations

Hit Papers

Hodgkin and Reed-Sternber... 1993 2026 2004 2015 1996 1993 1999 2013 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hodgkin and Reed-Sternberg cells in Hodgkin's disease represent the outgrowth of a dominant tumor clone derived from (crippled) germinal center B cells.
    1996 570 citations Ralf Küppers, Martin‐Leo Hansmann et al. profile →
  2. Tracing B cell development in human germinal centres by molecular analysis of single cells picked from histological sections.
    1993 550 citations Ralf Küppers, Martin‐Leo Hansmann et al. profile →
  3. Cellular Origin of Human B-Cell Lymphomas
    1999 531 citations Ralf Küppers, Ulf Klein et al. profile →
  4. MYC status in concert with BCL2 and BCL6 expression predicts outcome in diffuse large B-cell lymphoma
    2013 372 citations Heinz‐Wolfram Bernd, Alfred C. Feller et al. Blood profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin‐Leo Hansmann Germany 51 6.9k 5.0k 3.1k 2.8k 2.1k 247 10.8k
Izidore S. Lossos United States 53 5.8k 0.8× 4.3k 0.9× 2.8k 0.9× 2.5k 0.9× 2.9k 1.4× 353 10.8k
Eric D. Hsi United States 62 6.0k 0.9× 4.7k 0.9× 2.6k 0.8× 3.5k 1.3× 3.2k 1.5× 405 12.2k
Daphne de Jong Netherlands 54 5.8k 0.8× 4.4k 0.9× 1.7k 0.6× 2.0k 0.7× 1.9k 0.9× 214 10.3k
Steven H. Swerdlow United States 50 9.6k 1.4× 6.4k 1.3× 2.9k 0.9× 4.2k 1.5× 2.0k 0.9× 227 14.8k
Miguel Á. Piris Spain 66 8.5k 1.2× 6.3k 1.3× 2.8k 0.9× 3.9k 1.4× 3.6k 1.7× 328 14.2k
German Ott Germany 64 8.7k 1.3× 6.2k 1.2× 2.0k 0.6× 4.0k 1.4× 2.7k 1.3× 336 12.9k
Yasodha Natkunam United States 50 4.5k 0.6× 4.4k 0.9× 2.1k 0.7× 1.4k 0.5× 2.3k 1.1× 238 8.8k
Harald Stein Germany 48 4.9k 0.7× 3.3k 0.7× 2.5k 0.8× 1.6k 0.6× 1.3k 0.6× 117 8.4k
Marco Bregni Italy 45 3.0k 0.4× 4.7k 0.9× 2.4k 0.8× 1.6k 0.6× 2.0k 0.9× 193 10.0k
Stephen J. Schuster United States 48 4.7k 0.7× 8.3k 1.7× 2.9k 0.9× 2.0k 0.7× 1.7k 0.8× 366 11.7k

Countries citing papers authored by Martin‐Leo Hansmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin‐Leo Hansmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin‐Leo 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 Martin‐Leo Hansmann. The network helps show where Martin‐Leo Hansmann may publish in the future.

Co-authorship network of co-authors of Martin‐Leo Hansmann

This figure shows the co-authorship network connecting the top 25 collaborators of Martin‐Leo Hansmann. A scholar is included among the top collaborators of Martin‐Leo Hansmann 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 Martin‐Leo Hansmann. Martin‐Leo Hansmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ackermann, Jörg, et al.. (2024). Computational systems biology of cellular processes in the human lymph node. Current Opinion in Systems Biology. 38. 100518–100518. 1 indexed citations
2.
Ackermann, Jörg, et al.. (2023). Holistic View on the Structure of Immune Response: Petri Net Model. Biomedicines. 11(2). 452–452. 4 indexed citations
3.
Bexte, Tobias, Evelyn Ullrich, Andreas Loth, et al.. (2023). The RHOA Mutation G17V Does Not Lead to Increased Migration of Human Malignant T Cells but Is Associated with Matrix Remodelling. Cancers. 15(12). 3226–3226. 1 indexed citations
4.
Flinner, Nadine, Björn Häupl, Martin‐Leo Hansmann, et al.. (2022). T‐cell‐derived Hodgkin lymphoma has motility characteristics intermediate between Hodgkin and anaplastic large cell lymphoma. Journal of Cellular and Molecular Medicine. 26(12). 3495–3505. 6 indexed citations
5.
Ackermann, Jörg, et al.. (2021). 3D connectomes of reactive and neoplastic CD30 positive lymphoid cells and surrounding cell types. Acta Histochemica. 123(5). 151750–151750. 4 indexed citations
6.
Donnadieu, Emmanuel, Kerstin Reisinger, Yvonne Michel, et al.. (2020). Landscape of T Follicular Helper Cell Dynamics in Human Germinal Centers. The Journal of Immunology. 205(5). 1248–1255. 12 indexed citations
7.
Ackermann, Jörg, Tim Schäfer, Claudia Döring, et al.. (2020). Bioinformatics analysis of whole slide images reveals significant neighborhood preferences of tumor cells in Hodgkin lymphoma. PLoS Computational Biology. 16(1). e1007516–e1007516. 12 indexed citations
8.
Wein, Frederik, Marc A. Weniger, Benedikt Höing, et al.. (2017). Complex Immune Evasion Strategies in Classical Hodgkin Lymphoma. Cancer Immunology Research. 5(12). 1122–1132. 35 indexed citations
9.
Walter, Dirk, Eva Herrmann, Ria Winkelmann, et al.. (2016). Role of CD15 expression in dysplastic and neoplastic tissue of the bile duct – a potential novel tool for differential diagnosis of indeterminate biliary stricture. Histopathology. 69(6). 962–970. 9 indexed citations
10.
Rehli, Michael, Nathalie Dehne, Christian Schmidl, et al.. (2014). Genome-wide identification of hypoxia-inducible factor-1 and -2 binding sites in hypoxic human macrophages alternatively activated by IL-10. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(1). 10–22. 35 indexed citations
11.
Döring, Claudia, Rüdiger Popp, Nina Grossmann, et al.. (2014). HIF-2alpha-dependent PAI-1 induction contributes to angiogenesis in hepatocellular carcinoma. Experimental Cell Research. 331(1). 46–57. 38 indexed citations
12.
Peveling‐Oberhag, Jan, Claudia Döring, Sylvia Hartmann, et al.. (2014). MicroRNA Profiling of Laser-Microdissected Hepatocellular Carcinoma Reveals an Oncogenic Phenotype of the Tumor Capsule. Translational Oncology. 7(6). 672–680. 8 indexed citations
13.
Penna-Martinez, Marissa, Heinrich Kahles, Elizabeth Ramos‐Lopez, et al.. (2013). FOXE1 Association with Differentiated Thyroid Cancer and Its Progression. Thyroid. 24(5). 845–851. 40 indexed citations
14.
Hartmann, Sylvia, Dennis A. Eichenauer, Annette Plütschow, et al.. (2013). The prognostic impact of variant histology in nodular lymphocyte-predominant Hodgkin lymphoma: a report from the German Hodgkin Study Group (GHSG). Blood. 122(26). 4246–4252. 112 indexed citations
15.
Tiacci, Enrico, Claudia Döring, Verena Brune, et al.. (2012). Analyzing primary Hodgkin and Reed-Sternberg cells to capture the molecular and cellular pathogenesis of classical Hodgkin lymphoma. Blood. 120(23). 4609–4620. 97 indexed citations
16.
Penna-Martinez, Marissa, Elizabeth Ramos‐Lopez, Heinrich Kahles, et al.. (2012). Impaired Vitamin D Activation and Association with CYP24A1 Haplotypes in Differentiated Thyroid Carcinoma. Thyroid. 22(7). 709–716. 44 indexed citations
17.
Martı́n-Subero, José I., Reiner Siebert, Lana Harder, et al.. (2001). Cytogenetic and molecular characterization of a patient with simultaneous B‐cell chronic lymphocytic leukemia and peripheral T‐cell lymphoma. American Journal of Hematology. 68(4). 276–279. 13 indexed citations
18.
Geiger, Kathrin, Ulf Klein, Andreas Bräuninger, et al.. (2000). CD5-positive B cells in healthy elderly humans are a polyclonal B cell population. European Journal of Immunology. 30(10). 2918–2923. 22 indexed citations
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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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