E. Heidemann

1.3k citations
42 papers · 793 · h-index 12

Impact in

Papers in

E. Heidemann

42 papers receiving 747 citations

Peers

E. Heidemann
Comparison fields: 5 of 63
  • Pathology and Forensic Medicine 433
  • Genetics 220
  • Oncology 509
  • Cancer Research 111
  • Hematology 65
Replace J Chauvergne with:
J Chauvergne France
Garry Forgeson New Zealand
Scot Sorensen United States
Patrizia Gentilini Italy
Antonio Marrazzo Italy
Alexis D. Leal United States
Andrea Janíková Czechia
Timothy P. Spiro United States
Miaoxia He China
F. B. Hagemeister United States
E. Heidemann relative to J Chauvergne France J Chauvergne's profile →
Citations per field
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Citations per year

Countries citing papers authored by E. Heidemann

Since Specialization
Citations

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

Fields of papers citing papers by E. Heidemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005418
2 199342
3 200236
4 200233
5 198528
6 199023
7 201522
8 200821
9 198615
10 199915
11 197615
12 200411
13
Tubular breast cancer. A retrospective study.
201411
14 199310
15
Clinical impacts of histological subtyping primary breast cancer.
20109
16 19798
17 19878
18 19925
19 20115
20 19825

About E. Heidemann

E. Heidemann is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 42 papers that have together received 793 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (12 papers), Breast Cancer Treatment Studies (9 papers), Chemotherapy-related skin toxicity (4 papers), Advanced Breast Cancer Therapies (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Lung Cancer Research Studies (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (433 citations), Genetics (220 citations), Oncology (509 citations), Cancer Research (111 citations) and Hematology (65 citations). E. Heidemann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Eva Hoster, Ulrich Dührsen, Wolfgang Hiddemann, Hannes Wandt, Hartmut Eimermacher, Bernd Metzner, Bernhard Wörmann, Ali Aldaoud, Michael Unterhalt and Hjalmar B. Steinhauer. Their work appears in journals such as Journal of Molecular Medicine, Annals of Hematology, European Journal of Cancer Prevention, European Journal of Cancer and Annals of Oncology.

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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