Kathrin Opherk

682 citations
7 papers · 570 · h-index 5

Impact in

  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Cytomegalovirus and herpesvirus research 4
    • Herpesvirus Infections and Treatments 1
    • CAR-T cell therapy research 2
    • Viral-associated cancers and disorders 1

Kathrin Opherk

7 papers receiving 560 citations

Peers

Kathrin Opherk
Comparison fields: 5 of 41
  • Epidemiology 335
  • Hematology 94
  • Immunology 158
  • Oncology 187
  • Genetics 138
Replace Naoki Kasuga with:
Naoki Kasuga Japan
Sarah Grace United Kingdom
Renee M. Simms Australia
Gaurav Sutrave Australia
Jacqueline M. Keirnan United States
Ming‐Celine Dubosq Australia
Sylvia Borchers Germany
Pavankumar Reddy Varanasi Germany
Paola Terranova Italy
Anne Müller Germany
Kathrin Opherk relative to Naoki Kasuga Japan Naoki Kasuga's profile →
Citations per field
00.5×2×3×4×4.6×
Naoki Kasuga · 1×
Citations per year

Countries citing papers authored by Kathrin Opherk

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Opherk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010377
2 2015124
3 201247
4 201014
5 20235
6 20102
7 20091

About Kathrin Opherk

Kathrin Opherk is a scholar working on Epidemiology, Oncology, Parasitology, Neurology and Genetics, having authored 7 papers that have together received 570 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (4 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (2 papers), Pediatric Urology and Nephrology Studies (1 paper), Cancer Research and Treatments (1 paper), Herpesvirus Infections and Treatments (1 paper), Viral-associated cancers and disorders (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Epidemiology (335 citations), Hematology (94 citations), Immunology (158 citations), Oncology (187 citations) and Genetics (138 citations). Kathrin Opherk has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Rupert Handgretinger, PETER J. LANG, Tobias F. Feuchtinger, Friedhelm R. Schuster, Wolfgang Andreas Bethge, Hermann Einsele, Michael A. Schumm, Klaus Hamprecht, Max S. Topp and Eva M. Weissinger. Their work appears in journals such as Blood, Bone Marrow Transplantation, Cytotherapy and Pediatric Nephrology.

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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