Inga Hegemann

1.3k citations
26 papers · 537 · h-index 13

Impact in

Papers in

    • Hemophilia Treatment and Research 12
    • Chronic Myeloid Leukemia Treatments 4
    • Iron Metabolism and Disorders 4
    • Hemoglobinopathies and Related Disorders 4

Inga Hegemann

24 papers receiving 521 citations

Peers

Inga Hegemann
Comparison fields: 5 of 52
  • Biochemistry 166
  • Internal Medicine 55
  • Hematology 186
  • Critical Care and Intensive Care Medicine 43
  • Genetics 66
Replace Paula F. Ypma with:
Paula F. Ypma Netherlands
J Burger Switzerland
Emmanuelle Jeanpierre France
Karén Matevosyan United States
J Duguid United Kingdom
James Uprichard United Kingdom
Francesca Marangoni Italy
Debra Masel United States
D. Frei Switzerland
Wolfgang Schramm Germany
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Citations per field
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Citations per year

Countries citing papers authored by Inga Hegemann

Since Specialization
Citations

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

Fields of papers citing papers by Inga Hegemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019227
2 202069
3 202231
4 202125
5 201622
6 202321
7 202119
8 202018
9 201616
10 202015
11 202015
12 201914
13 202012
14 20109
15 20207
16 20245
17 20193
18 20182
19 20202
20 20231

About Inga Hegemann

Inga Hegemann is a scholar working on Hematology, Genetics, Infectious Diseases, Internal Medicine and Physiology, having authored 26 papers that have together received 537 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (12 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Blood transfusion and management (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Biochemistry (166 citations), Internal Medicine (55 citations), Hematology (186 citations), Critical Care and Intensive Care Medicine (43 citations) and Genetics (66 citations). Inga Hegemann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Felix Schoenrath, Gabriela H. Spahn, Alexander Kaserer, Burkhardt Seifert, Volkmar Falk, Donat R. Spahn, Oliver M. Theusinger, Philipp Stein, Francesco Maisano and Axel Hofmann. Their work appears in journals such as Swiss Medical Weekly, Blood, Blood Advances, Audiology and Neurotology and British Journal of Haematology.

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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