Torsten Keßler

3.0k citations
92 papers · 2.1k indexed · h-index 26

Impact in

Papers in

Torsten Keßler

89 papers receiving 2.1k citations

Peers

Torsten Keßler
Comparison fields: 5 of 123
  • Hematology 529
  • Immunology and Allergy 157
  • Oncology 685
  • Cancer Research 341
  • Genetics 178
Replace Ewa Sierko with:
Ewa Sierko Poland
Conny J. van der Laken Netherlands
Melissa R. Snyder United States
Laurence Panicot‐Dubois France
Markéta Jiroušková United States
Ralf Uwe Peter Germany
Michael Loughnan Australia
Angela F. Drew United States
P A McKee United States
Benjamin Van Camp Belgium
Torsten Keßler relative to Ewa Sierko Poland Ewa Sierko's profile →
Citations per field
00.5×1.5×2.0×
Ewa Sierko · 1×
Citations per year

Countries citing papers authored by Torsten Keßler

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Keßler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002173
2 2000119
3 2009118
4 200193
5 200278
6 200570
7 200958
8
Overexpression of basic fibroblast growth factor and autocrine stimulation in acute myeloid leukemia.
200356
9
Expression of angiopoietins and their receptor Tie2 in the bone marrow of patients with acute myeloid leukemia.
200656
10 201453
11 201252
12 199849
13 200749
14 200748
15 200047
16 200146
17 200343
18 200742
19 201538
20 200637

About Torsten Keßler

Torsten Keßler is a scholar working on Hematology, Immunology and Allergy, Oncology, Cancer Research and Genetics, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Peptidase Inhibition and Analysis (17 papers), Angiogenesis and VEGF in Cancer (13 papers), Cell Adhesion Molecules Research (12 papers), Sarcoma Diagnosis and Treatment (12 papers), Protease and Inhibitor Mechanisms (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Hematology (529 citations), Immunology and Allergy (157 citations), Oncology (685 citations), Cancer Research (341 citations) and Genetics (178 citations). Torsten Keßler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfgang E. Berdel, Rolf M. Mesters, Ralf Bieker, Teresa Padró, Christoph Schliemann, David A. Cheresh, Christian Schwöppe, Steve Silletti, Inder M. Verma and Alexander Pfeifer. Their work appears in journals such as Blood, Annals of Hematology, PLoS ONE, Leukemia and European Journal of Cancer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026