R. Hehlmann

1.2k citations
30 papers · 859 indexed · h-index 16

R. Hehlmann

30 papers receiving 759 citations

Peers

R. Hehlmann
Comparison fields: 5 of 75
  • Hematology 135
  • Oncology 326
  • Genetics 94
  • Immunology 169
  • Animal Science and Zoology 77
Replace J. G. Sinkovics with:
J. G. Sinkovics United States
Polly R. Etkind United States
RE Donahue United States
Nobuyuki Takayama Japan
James P.S. Yang United States
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Joseph P. Balint United States
Hidemi Toyoda Japan
Tsunefumi Shibuya Japan
Nancy MacKay United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by R. Hehlmann

Since Specialization
Citations

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

Fields of papers citing papers by R. Hehlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200735
2 200451
3 200429
4
Transcription of HERV-K-related LTRs in human placenta and leukemic cells.
199417
5 199237
6
Endogenous retroviral elements in human DNA.
199072
7
Zusammenstellung der gebräuchlichen Definitionen und Klassifikationssysteme bei HIV-Infektion
19892
8 19892
9
[Epidemiology of HIV infection].
19881
10
Human endogenous retroviruses.
19884
11 19785
12
[The mode of transfer of RNA tumor virus-like particles in melanomas].
19781
13 19783
14 197534
15
[RNA-tumor-virus-like particles in human melanomas with specific relationship to a melanoma virus in mice].
19751
16
Evidence for RNA tumor viruses in human lymphomas including Burkitt's disease.
197324
17 197347
18 197264
19 197267
20 1972114

About R. Hehlmann

R. Hehlmann is a scholar working on Immunology, Genetics, Oncology, General Social Sciences and Animal Science and Zoology, having authored 30 papers that have together received 859 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (7 papers), T-cell and Retrovirus Studies (6 papers), Virus-based gene therapy research (4 papers), Chromosomal and Genetic Variations (4 papers), Parvovirus B19 Infection Studies (3 papers), Animal Virus Infections Studies (3 papers), Herpesvirus Infections and Treatments (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (135 citations), Oncology (326 citations), Genetics (94 citations), Immunology (169 citations) and Animal Science and Zoology (77 citations). R. Hehlmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include S. Spiegelman, Donald Küfe, William G. Baxt, Jan Hastka, Christine Leib‐Mösch, A Schwarzbeck, M. Strauch, Volker Erfle, Ruth Brack‐Werner and Thomas Werner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Cytopathology, Cancer Chemotherapy and Pharmacology and Annals of Hematology.

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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