H.‐G. Benkmann

716 citations
44 papers · 569 indexed · h-index 14

Impact in

  • Hematology top 10%
    • Blood groups and transfusion
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Hemoglobinopathies and Related Disorders

Papers in

    • Blood groups and transfusion 11
    • Blood Coagulation and Thrombosis Mechanisms 3
    • Hemoglobinopathies and Related Disorders 6

H.‐G. Benkmann

44 papers receiving 526 citations

Peers

H.‐G. Benkmann
Comparison fields: 5 of 94
  • Hematology 112
  • Genetics 66
  • Genetics 148
  • Health, Toxicology and Mutagenesis 64
  • Cancer Research 64
Replace Lois B. Barnett with:
Lois B. Barnett United States
F. Mondon France
Margaret Mackay United Kingdom
S K Dey United States
Jun Kuroki Japan
Jean-Louis Danan France
Godfrey T. Gillett United Kingdom
Diane C. Cabelof United States
Marina Yéfimova Russia
J. A. Rillema United States
H.‐G. Benkmann relative to Lois B. Barnett United States Lois B. Barnett's profile →
Citations per field
00.5×2.9×
Lois B. Barnett · 1×
Citations per year

Countries citing papers authored by H.‐G. Benkmann

Since Specialization
Citations

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

Fields of papers citing papers by H.‐G. Benkmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 19982
2 199842
3 19917
4 198919
5 198612
6 198675
7 19861
8 198415
9 198212
10 19805
11 19784
12 19781
13 197811
14 19778
15 19777
16 197713
17 19744
18 197351
19 197224
20 197224

About H.‐G. Benkmann

H.‐G. Benkmann is a scholar working on Hematology, Genetics, Physiology, Pathology and Forensic Medicine and Genetics, having authored 44 papers that have together received 569 indexed citations. Recurring topics across this work include Blood groups and transfusion (11 papers), Erythrocyte Function and Pathophysiology (7 papers), Alcohol Consumption and Health Effects (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Complement system in diseases (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Neonatal Health and Biochemistry (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Hematology (112 citations), Genetics (66 citations), Genetics (148 citations), Health, Toxicology and Mutagenesis (64 citations) and Cancer Research (64 citations). H.‐G. Benkmann has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include H. W. Goedde, H. W. Goedde, D. P. Agarwal, G. Lehnert, Paweł Bogdański, António Pellicer, G. Flatz, T. Pellicer, Francisco Rothhammer and Manfred Kayser. Their work appears in journals such as Human Heredity, Human Genetics, American Journal of Physical Anthropology, Journal of Molecular Medicine and Annals of Human Biology.

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