Markus Puhlmann

2.6k citations
38 papers · 1.6k indexed · h-index 18

Markus Puhlmann

38 papers receiving 1.5k citations

Peers

Markus Puhlmann
Comparison fields: 5 of 104
  • Oncology 537
  • Immunology 403
  • Genetics 464
  • Biotechnology 143
  • Virology 73
Replace Lou F. M. H. de Leij with:
Lou F. M. H. de Leij Netherlands
Ryoji Ito Japan
Hidefumi Hiramatsu Japan
Archibald S. Perkins United States
Sharon L. Aukerman United States
Gabriela M. Baerlocher Switzerland
Barbara Marinari Italy
Yonglian Sun United States
Éric Rouvier France
Dirk Moritz Switzerland
Markus Puhlmann relative to Lou F. M. H. de Leij Netherlands Lou F. M. H. de Leij's profile →
Citations per field
00.5×2.6×
Lou F. M. H. de Leij · 1×
Citations per year

Countries citing papers authored by Markus Puhlmann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Puhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20175
4 20176
5 20162
6 201287
7 20083
8 200749
9 2005100
10 20046
11
Effect of interleukin 1 receptor antagonist gene transduction on human melanoma xenografts in nude mice.
200342
12 2002149
13 2002146
14 2000128
15
A phase I-II study of isolated hepatic perfusion using melphalan with or without tumor necrosis factor for patients with ocular melanoma metastatic to liver.
2000115
16 19992
17 199933
18 199951
19 199978
20
[Diagnostic problems in acute appendicitis and indications for laparoscopic appendectomy].
19961

About Markus Puhlmann

Markus Puhlmann is a scholar working on Structural Biology, Virology, Immunology and Allergy, Hematology and Reproductive Medicine, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Renal cell carcinoma treatment (4 papers), Immunotherapy and Immune Responses (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Animal Virus Infections Studies (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Oncology (537 citations), Immunology (403 citations), Genetics (464 citations), Biotechnology (143 citations) and Virology (73 citations). Markus Puhlmann has collaborated with scholars based in United States, Germany and France. Frequent co-authors include H. Richard Alexander, Michael Gnant, David L. Bartlett, Steven K. Libutti, Nancy M. Carroll, Ewa M. Turner, David M. Weinreich, Charles K. Brown, Dina M. Elaraj and Stephen M. Hewitt. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, International Journal of Cancer, Human Gene Therapy and JNCI Journal of the National Cancer Institute.

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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