Thomas Epting

589 citations
29 papers · 439 · h-index 12

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Hemoglobinopathies and Related Disorders
    • Virus-based gene therapy research

Papers in

    • CRISPR and Genetic Engineering 3
    • Hemoglobinopathies and Related Disorders 8
    • Virus-based gene therapy research 2

Thomas Epting

28 papers receiving 422 citations

Peers

Thomas Epting
Comparison fields: 5 of 95
  • Transplantation 35
  • Genetics 64
  • Hematology 41
  • Biomaterials 40
  • Pediatrics, Perinatology and Child Health 48
Replace Mira Horváthová with:
Mira Horváthová Slovakia
Ragnar Källén Sweden
Claire Terry United Kingdom
Željka Večerić‐Haler Slovenia
D. A. Grant United Kingdom
Folker Wenzel Germany
Nadtha Panin Belgium
You Peng China
Maryam Zakerinia Iran
Thomas Epting relative to Mira Horváthová Slovakia Mira Horváthová's profile →
Citations per field
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Mira Horváthová · 1×
Citations per year

Countries citing papers authored by Thomas Epting

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Epting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200457
2 201256
3 201946
4 202044
5 200039
6 200538
7 200320
8 201519
9 201715
10 200014
11 201612
12 201711
13 201510
14 20239
15 20216
16 20166
17 20235
18 20065
19 20114
20 20224

About Thomas Epting

Thomas Epting is a scholar working on Molecular Biology, Genetics, Cell Biology, Pediatrics, Perinatology and Child Health and Hematology, having authored 29 papers that have together received 439 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Hemoglobin structure and function (6 papers), Iron Metabolism and Disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Prenatal Screening and Diagnostics (3 papers), Cancer Research and Treatments (2 papers), Virus-based gene therapy research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Transplantation (35 citations), Genetics (64 citations), Hematology (41 citations), Biomaterials (40 citations) and Pediatrics, Perinatology and Child Health (48 citations). Thomas Epting has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Emmanuel Bissé, Karl Winkler, Armin Buchwald, Heinrich Wieland, Kiyoshi Yamada, Ingo Brink, Rupert Engelhardt, Georg Schwarzkopf, John A. Thompson and Herman van der Putten. Their work appears in journals such as The CRISPR Journal, Forensic Science International, Journal of Chromatography B, International Journal of Cancer and Scientific Reports.

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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