Jan Kaufmann

481 citations
17 papers · 390 · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cardiac Arrest and Resuscitation
    • Hematological disorders and diagnostics

Papers in

Jan Kaufmann

17 papers receiving 385 citations

Peers

Jan Kaufmann
Comparison fields: 5 of 61
  • Hematology 109
  • Emergency Medicine 53
  • Cardiology and Cardiovascular Medicine 89
  • Oncology 79
  • Immunology 58
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Anh T. P. Ngo United States
Anna Rogers United States
Marjolein Meinders Netherlands
Lilach Bonstein Israel
Péter Batár Hungary
Heidrun Muth Germany
Ayla Yalamanoglu United States
KB Udupa United States
Makoto Hase Japan
Subia Tasneem Canada
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Citations per field
00.5×10.6×
Anh T. P. Ngo · 1×
Citations per year

Countries citing papers authored by Jan Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1989144
2 200939
3 201038
4 201131
5 201227
6 201024
7 201420
8 201618
9 200915
10 201911
11 20138
12 20144
13 20153
14 20093
15 20152
16 20082
17 20091

About Jan Kaufmann

Jan Kaufmann is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Emergency Medicine and Cancer Research, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Acute Myeloid Leukemia Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Hematological disorders and diagnostics (1 paper), Nerve injury and regeneration (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Hematology (109 citations), Emergency Medicine (53 citations), Cardiology and Cardiovascular Medicine (89 citations), Oncology (79 citations) and Immunology (58 citations). Jan Kaufmann has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Eckart Fleck, John A. Thompson, Eric M. Bonnem, Pamela G. Kidd, A Fefer, Philipp Stawowy, Heike Meýborg, Kai Kappert, Charalampos Kriatselis and Daniel J. Urban. Their work appears in journals such as Journal of Interventional Cardiac Electrophysiology, Biochemical and Biophysical Research Communications, Coronary Artery Disease, Resuscitation and Circulation.

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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