Edit Tarcsa

44 papers receiving 2.7k citations

Peers

Edit Tarcsa
Comparison fields: 5 of 93
  • Cell Biology 491
  • Rheumatology 290
  • Radiology, Nuclear Medicine and Imaging 393
  • Molecular Biology 902
  • Immunology 252
Replace Ewald Hannappel with:
Ewald Hannappel Germany
Bryan John Smith United Kingdom
Hanne Holm Rasmussen Denmark
Kurt Bommert Germany
José Van der Heyden Belgium
Robert M. J. Keehnen Netherlands
James F. Crish United States
Pierre Graber Switzerland
John Edwin Mole United States
David W. Powell United States
Edit Tarcsa relative to Ewald Hannappel Germany Ewald Hannappel's profile →
Citations per field
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Ewald Hannappel · 1×
Citations per year

Countries citing papers authored by Edit Tarcsa

Since Specialization
Citations

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

Fields of papers citing papers by Edit Tarcsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006410
2 1996317
3 2007293
4 1989233
5 1995145
6 1997135
7 1998102
8 200093
9 199978
10 201576
11 200169
12 202262
13 200961
14 200959
15 201156
16 201553
17 199851
18 202050
19
High amount of epsilon-(gamma-glutamyl)lysine cross-links in Mallory bodies.
199248
20 199945

About Edit Tarcsa

Edit Tarcsa is a scholar working on Radiology, Nuclear Medicine and Imaging, Cell Biology, Immunology, Molecular Biology and Spectroscopy, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Skin and Cellular Biology Research (7 papers), Blood properties and coagulation (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Cell death mechanisms and regulation (4 papers), Ubiquitin and proteasome pathways (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Cell Biology (491 citations), Rheumatology (290 citations), Radiology, Nuclear Medicine and Imaging (393 citations), Molecular Biology (902 citations) and Immunology (252 citations). Edit Tarcsa has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Peter M. Steinert, Lyuben N. Marekov, László Fésüs, Edit I. Buzás, András Falus, Bence György, Eleonora Candi, Gerry Melino, Giampiero Mei and Seung‐Chul Lee. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, mAbs, Analytical Biochemistry and Molecular Therapy — Methods & Clinical Development.

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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