Torsten Keßler

3.0k citations
100 papers · 2.5k · h-index 27

Impact in

Papers in

    • Acute Myeloid Leukemia Research 22
    • Peptidase Inhibition and Analysis 15

Torsten Keßler

98 papers receiving 2.4k citations

Peers

Torsten Keßler
Comparison fields: 5 of 122
  • Hematology 535
  • Immunology and Allergy 161
  • Oncology 699
  • Cancer Research 316
  • Genetics 179
Replace Melissa R. Snyder with:
Melissa R. Snyder United States
Hendrik De Raeve Belgium
Hiroki Sato Japan
Conny J. van der Laken Netherlands
Michael Loughnan Australia
Ralf Uwe Peter Germany
Markéta Jiroušková United States
Keith W. Kombrinck United States
Benjamin Van Camp Belgium
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Citations per field
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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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002181
2 2009130
3 2000121
4 2001102
5 200281
6 200572
7 201467
8
Expression of angiopoietins and their receptor Tie2 in the bone marrow of patients with acute myeloid leukemia.
200661
9 200961
10
Overexpression of basic fibroblast growth factor and autocrine stimulation in acute myeloid leukemia.
200357
11 200057
12 201255
13 200754
14 199853
15 200353
16 200750
17 200149
18 201548
19 200744
20 201542

About Torsten Keßler

Torsten Keßler is a scholar working on Hematology, Oncology, Immunology and Allergy, Cancer Research and Genetics, having authored 100 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Peptidase Inhibition and Analysis (15 papers), Angiogenesis and VEGF in Cancer (13 papers), Sarcoma Diagnosis and Treatment (11 papers), Cell Adhesion Molecules Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Protease and Inhibitor Mechanisms (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (535 citations), Immunology and Allergy (161 citations), Oncology (699 citations), Cancer Research (316 citations) and Genetics (179 citations). Torsten Keßler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfgang E. Berdel, Rolf Michael Mesters, Ralf Bieker, Teresa Padró, Christoph Schliemann, David A. Cheresh, Christian Schwöppe, Albrecht Hesse, Steve Silletti 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.

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