H. Graeff

9.6k citations
210 papers · 7.5k · h-index 44

Impact in

Papers in

H. Graeff

196 papers receiving 7.1k citations

Peers

H. Graeff
Comparison fields: 5 of 115
  • Cancer Research 3.7k
  • Immunology and Allergy 934
  • Hematology 1.4k
  • Oncology 1.8k
  • Genetics 549
Replace F. Jänicke with:
F. Jänicke Germany
Michael S. O’Reilly United States
Giampietro Gasparini Italy
Christoph Thomssen Germany
Ronit Simantov United States
Dan Eaton United States
Paul Elson United States
Martin F. Fey Switzerland
Gabriella Fontanini Italy
Robert W. Ross United States
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 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000409
2 2000390
3 2000344
4 1997330
5 2001325
6 1993299
7 1991286
8 1991203
9 2005195
10 1996188
11 1998185
12 1996155
13 1990154
14 2001151
15 1992129
16 1999122
17 1994114
18
Prognostic value of the cysteine proteases cathepsins B and cathepsin L in human breast cancer.
1995111
19 1999109
20 1992105

About H. Graeff

H. Graeff is a scholar working on Cancer Research, Hematology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 210 papers that have together received 7.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (64 papers), Blood Coagulation and Thrombosis Mechanisms (44 papers), Blood properties and coagulation (31 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (25 papers), Peptidase Inhibition and Analysis (19 papers), Cell Adhesion Molecules Research (18 papers), Pregnancy and preeclampsia studies (11 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (11 papers). The work is most often cited by research in Cancer Research (3.7k citations), Immunology and Allergy (934 citations), Hematology (1.4k citations), Oncology (1.8k citations) and Genetics (549 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, Kurt Ulm, W. Kühn, R. Hafter, Heinz Höfler, L. Pache and Markus Schwaiger. Their work appears in journals such as Thrombosis Research, Thrombosis and Haemostasis, Journal of Molecular Medicine, International Journal of Oncology and British 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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