Martin Deichmann

1.5k total citations
41 papers, 1.0k citations indexed

About

Martin Deichmann is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Martin Deichmann has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Oncology and 13 papers in Immunology. Recurrent topics in Martin Deichmann's work include Melanoma and MAPK Pathways (15 papers), Cutaneous Melanoma Detection and Management (12 papers) and Immunotherapy and Immune Responses (9 papers). Martin Deichmann is often cited by papers focused on Melanoma and MAPK Pathways (15 papers), Cutaneous Melanoma Detection and Management (12 papers) and Immunotherapy and Immune Responses (9 papers). Martin Deichmann collaborates with scholars based in Germany, Netherlands and Norway. Martin Deichmann's co-authors include Axel Benner, V. Waldmann, Rainer Haas, Helmut Näher, Ralf Kronenwett, Andreas Jäckel, Hjalmar Kurzen, Wolfgang Hartschuh, Michael Bock and H Näher and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Martin Deichmann

41 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Deichmann Germany 18 536 520 272 98 84 41 1.0k
Robert J. Ingham Canada 21 936 1.7× 409 0.8× 362 1.3× 238 2.4× 142 1.7× 34 1.5k
Ellen J. Wehrens Netherlands 20 410 0.8× 403 0.8× 616 2.3× 57 0.6× 103 1.2× 31 1.4k
Ariane Plet France 20 757 1.4× 640 1.2× 1.1k 4.2× 118 1.2× 100 1.2× 36 2.0k
Helmut Näher Germany 14 339 0.6× 290 0.6× 184 0.7× 35 0.4× 48 0.6× 30 744
Konrad Miatkowski United States 13 1.0k 1.9× 192 0.4× 529 1.9× 155 1.6× 133 1.6× 16 1.6k
Jennifer E. Smith‐Garvin United States 6 492 0.9× 492 0.9× 1.2k 4.5× 68 0.7× 106 1.3× 7 1.7k
Martine Humbert France 12 457 0.9× 234 0.5× 598 2.2× 102 1.0× 81 1.0× 15 1.2k
Barbara L. Rellahan United States 20 671 1.3× 294 0.6× 869 3.2× 128 1.3× 83 1.0× 35 1.5k
Sonia Minuzzo Italy 21 824 1.5× 397 0.8× 315 1.2× 80 0.8× 325 3.9× 49 1.5k
Gerard Folch Spain 5 725 1.4× 365 0.7× 553 2.0× 40 0.4× 177 2.1× 6 1.4k

Countries citing papers authored by Martin Deichmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Deichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Deichmann

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Deichmann. A scholar is included among the top collaborators of Martin Deichmann 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 Deichmann. Martin Deichmann 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.
Deichmann, Martin, et al.. (2005). The chemoresistance gene ABCG2 (MXR/BCRP1/ABCP1) is not expressed in melanomas but in single neuroendocrine carcinomas of the skin. Journal of Cutaneous Pathology. 32(7). 467–473. 13 indexed citations
2.
Deichmann, Martin, et al.. (2005). Detection of reverse transcriptase activity in human melanoma cell lines and identification of a murine leukemia virus contaminant. Archives of Dermatological Research. 296(8). 345–352. 6 indexed citations
3.
Brennecke, Shaun P., et al.. (2005). Decline in angiogenic factors, such as interleukin-8, indicates response to chemotherapy of metastatic melanoma. Melanoma Research. 15(6). 515–522. 39 indexed citations
4.
Deichmann, Martin, et al.. (2004). Diagnosing melanoma patients entering American Joint Committee on Cancer stage IV, C-reactive protein in serum is superior to lactate dehydrogenase. British Journal of Cancer. 91(4). 699–702. 50 indexed citations
5.
Deichmann, Martin, et al.. (2004). <i>B-raf</i> Exon 15 Mutations Are Common in Primary Melanoma Resection Specimens but Not Associated with Clinical Outcome. Oncology. 66(5). 411–419. 12 indexed citations
6.
Helmke, Burkhard, et al.. (2004). Melanoma metastasis is associated with enhanced expression of the syntenin gene. Oncology Reports. 12(2). 221–8. 35 indexed citations
7.
Mollenhauer, Jan, Martin Deichmann, Burkhard Helmke, et al.. (2003). Frequent downregulation of DMBT1 and galectin‐3 in epithelial skin cancer. International Journal of Cancer. 105(2). 149–157. 41 indexed citations
8.
Kurzen, Hjalmar, et al.. (2003). Expression of MUC�1 and Ep-CAM in Merkel cell carcinomas: implications for immunotherapy. Archives of Dermatological Research. 295(4). 146–154. 18 indexed citations
9.
Deichmann, Martin, Hjalmar Kurzen, Ursula Egner, Peter Altevogt, & Wolfgang Hartschuh. (2003). Adhesion molecules CD171 (L1CAM) and CD24 are expressed by primary neuroendocrine carcinomas of the skin (Merkel cell carcinomas). Journal of Cutaneous Pathology. 30(6). 363–368. 34 indexed citations
10.
Waldmann, V., J. Wacker, & Martin Deichmann. (2002). Absence of mutations in the pleckstrin homology (PH) domain of protein kinase B (PKB/Akt) in malignant melanoma. Melanoma Research. 12(1). 45–50. 17 indexed citations
11.
Deichmann, Martin, Jan Mollenhauer, Burkhard Helmke, et al.. (2002). Analysis of Losses of Heterozygosity of the Candidate Tumour Suppressor Gene <i>DMBT1</i> in Melanoma Resection Specimens. Oncology. 63(2). 166–172. 11 indexed citations
12.
Waldmann, V., Martin Deichmann, & Andreas Jäckel. (2001). Disseminierte Melanomzellen in Blut und Knochenmark Bedeutung und Nachweis durch potenzielle Tumormarker. Der Hautarzt. 52(4). 298–303. 1 indexed citations
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15.
Kahle, Birgit, S Hummel, Martin Deichmann, & D Petzoldt. (2000). Bestimmung des Schweregrades einer venösen Insuffizienz mittels Duplexsonographie. Der Hautarzt. 51(2). 70–74. 2 indexed citations
16.
Jäckel, Andreas, Martin Deichmann, V. Waldmann, Michael Bock, & Helmut Näher. (1999). S-100β-Protein im Serum als Tumormarker beim malignen Melanom Aktueller Kenntnisstand und klinische Erfahrungen. Der Hautarzt. 50(4). 250–256. 12 indexed citations
17.
Waldmann, V., et al.. (1999). Pathogenese des malignen Melanoms. Der Hautarzt. 50(6). 398–405. 6 indexed citations
18.
Jäckel, Andreas, Martin Deichmann, V. Waldmann, Michael Bock, & Helmut Näher. (1999). S-100β-Protein im Serum als Tumormarker beim malignen Melanom. Der Hautarzt. 50(4). 250–256. 16 indexed citations
19.
Deichmann, Martin, Burkhard Helmke, Markus Böck, et al.. (1998). Massive lethal cerebral bleeding in a patient with melanoma without intracranial metastasis. Clinical Oncology. 10(4). 272–273. 3 indexed citations
20.
Deichmann, Martin, Martin Bentz, & Rainer Haas. (1997). Ultra-sensitive FISH is a useful tool for studying chronic HIV-1 infection. Journal of Virological Methods. 65(1). 19–25. 16 indexed citations

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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