H. Graeff

9.6k citations
244 papers · 8.0k · h-index 45

Impact in

Papers in

H. Graeff

219 papers receiving 7.5k citations

Peers

H. Graeff
Comparison fields: 5 of 121
  • Cancer Research 3.9k
  • Immunology and Allergy 967
  • Hematology 1.6k
  • Oncology 1.9k
  • Genetics 593
Replace F. Jänicke with:
F. Jänicke Germany
Giampietro Gasparini Italy
Francesco Pezzella United Kingdom
Christoph Thomssen Germany
Ronit Simantov United States
Dan Eaton United States
Paul Elson United States
Daniel Kirchhofer United States
Martin F. Fey Switzerland
Gabriella Fontanini Italy
H. Graeff relative to F. Jänicke Germany F. Jänicke's profile →
Citations per field
00.5×1.6×
F. Jänicke · 1×
Citations per year

Countries citing papers authored by H. Graeff

Since Specialization
Citations

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

Fields of papers citing papers by H. Graeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000426
2 2000422
3 2000352
4 2001347
5 1997345
6 1993314
7 1991308
8 2005217
9 1991212
10 1996199
11 1998196
12 1996169
13 1990165
14 2001157
15 1992137
16 1999124
17 1994121
18
Prognostic value of the cysteine proteases cathepsins B and cathepsin L in human breast cancer.
1995121
19 1999115
20 1992110

About H. Graeff

H. Graeff is a scholar working on Cancer Research, Hematology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 244 papers that have together received 8.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (70 papers), Blood Coagulation and Thrombosis Mechanisms (50 papers), Blood properties and coagulation (37 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers), Peptidase Inhibition and Analysis (22 papers), Cell Adhesion Molecules Research (19 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (14 papers) and Pregnancy and preeclampsia studies (11 papers). The work is most often cited by research in Cancer Research (3.9k citations), Immunology and Allergy (967 citations), Hematology (1.6k citations), Oncology (1.9k citations) and Genetics (593 citations). H. Graeff has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Manfred Schmitt, F. Jänicke, Nadia Harbeck, Olaf G. Wilhelm, W. Kühn, Kurt Ulm, R. Hafter, Markus Schwaiger, L. Pache and Heinz Höfler. Their work appears in journals such as Thrombosis Research, Thrombosis and Haemostasis, Journal of Molecular Medicine, International Journal of Oncology and Archives of Gynecology and Obstetrics.

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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