F. A. Grässer

1.2k citations
15 papers · 1.0k · h-index 11

Impact in

Papers in

F. A. Grässer

15 papers receiving 994 citations

Peers

F. A. Grässer
Comparison fields: 5 of 54
  • Oncology 703
  • Pathology and Forensic Medicine 378
  • Cancer Research 239
  • Immunology 220
  • Infectious Diseases 151
Replace Katharina Bernhardt with:
Katharina Bernhardt Germany
Mitchell Hayes United States
Robert H. Sadler United States
Juan Carlos Ramos United States
Gianna Ballon United States
Alexander M. Price United States
L Gradoville United States
Aron R. Marquitz United States
Xianming Yu United States
G Manolov Sweden
F. A. Grässer relative to Katharina Bernhardt Germany Katharina Bernhardt's profile →
Citations per field
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Katharina Bernhardt · 1×
Citations per year

Countries citing papers authored by F. A. Grässer

Since Specialization
Citations

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

Fields of papers citing papers by F. A. Grässer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. A. Grässer. 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 F. A. Grässer. The network helps show where F. A. Grässer may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007269
2 1994145
3 1997110
4 2007102
5 199691
6
Detection of heterogeneous Epstein-Barr virus gene expression patterns within individual post-transplantation lymphoproliferative disorders.
199575
7 199466
8 199963
9 199621
10 199721
11 200618
12
A new lytic antibody, 7D6, detects Epstein-Barr virus dUTPase in nonkeratinizing undifferentiated nasopharyngeal carcinomas.
199810
13 19979
14 19947
15 19964

About F. A. Grässer

F. A. Grässer is a scholar working on Oncology, Pathology and Forensic Medicine, Infectious Diseases, Rheumatology and Immunology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (14 papers), Lymphoma Diagnosis and Treatment (10 papers), Parvovirus B19 Infection Studies (5 papers), Immune Cell Function and Interaction (3 papers), Eosinophilic Disorders and Syndromes (3 papers), MicroRNA in disease regulation (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Oncology (703 citations), Pathology and Forensic Medicine (378 citations), Cancer Research (239 citations), Immunology (220 citations) and Infectious Diseases (151 citations). F. A. Grässer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Elisabeth Kremmer, Gerald Niedobitek, Thorsten Pfuhl, Lawrence S. Young, Stefan Barth, Gunter Meister, Julia Höck, Klaus Roemer, Jan Mrázek and Norbert Polacek. Their work appears in journals such as Journal of General Virology, Blood, Nucleic Acids Research, Journal of Virology and The EMBO Journal.

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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