Edit Tarcsa

45 papers receiving 2.7k citations

Peers

Edit Tarcsa
Comparison fields: 5 of 107
  • Cell Biology 592
  • Immunology and Allergy 153
  • Radiology, Nuclear Medicine and Imaging 527
  • Rheumatology 316
  • Immunology 460
Replace Marina Guerrin with:
Marina Guerrin France
Juhani Saarinen Finland
Victor A. Tron Canada
William Damsky United States
Marie‐Claire Méchin France
Beverly Plunkett United States
H. Michael Shepard United States
Bryan John Smith United Kingdom
Jesús M. Paramio Spain
Ariana Celis Denmark
Edit Tarcsa relative to Marina Guerrin France Marina Guerrin's profile →
Citations per field
00.5×3.9×
Marina Guerrin · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006404
2 1996313
3 2007274
4 1989239
5 1995142
6 1997130
7 1998102
8 200095
9 199979
10 201574
11 200169
12 200962
13 200961
14 202255
15 201154
16 199853
17 201552
18
High amount of epsilon-(gamma-glutamyl)lysine cross-links in Mallory bodies.
199249
19 199946
20 202045

About Edit Tarcsa

Edit Tarcsa is a scholar working on Molecular Biology, Cell Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Blood properties and coagulation (8 papers), Skin and Cellular Biology Research (7 papers), Erythrocyte Function and Pathophysiology (6 papers), CAR-T cell therapy research (5 papers), Protein purification and stability (4 papers), Biosimilars and Bioanalytical Methods (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Cell Biology (592 citations), Immunology and Allergy (153 citations), Radiology, Nuclear Medicine and Imaging (527 citations), Rheumatology (316 citations) and Immunology (460 citations). Edit Tarcsa has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Lyuben N. Marekov, Peter M. Steinert, László Fésüs, Edit I. Buzás, Eleonora Candi, Bence György, András Falus, Gerry Melino, Giampiero Mei and Seung‐Chul Lee. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry, mAbs, Bioorganic & Medicinal Chemistry Letters 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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