Edit Tarcsa

42 papers receiving 2.5k citations

Peers

Edit Tarcsa
Comparison fields: 5 of 107
  • Cell Biology 585
  • Immunology and Allergy 165
  • Radiology, Nuclear Medicine and Imaging 549
  • Immunology 475
  • Rheumatology 329
Replace Juhani Saarinen with:
Juhani Saarinen Finland
Claudia D. Andl United States
Beverly Plunkett United States
Victor A. Tron Canada
William Damsky United States
H. Michael Shepard United States
D W Kawka United States
Jesús M. Paramio Spain
Ariana Celis Denmark
Bryan John Smith United Kingdom
Edit Tarcsa relative to Juhani Saarinen Finland Juhani Saarinen's profile →
Citations per field
00.5×3.8×
Juhani Saarinen · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006379
2 1996295
3 2007253
4 1989224
5 1995139
6 1997128
7 1998101
8 200094
9 199974
10 201570
11 200168
12 200961
13 200959
14 201153
15 199851
16 201548
17 202248
18
High amount of epsilon-(gamma-glutamyl)lysine cross-links in Mallory bodies.
199244
19 199943
20 201241

About Edit Tarcsa

Edit Tarcsa is a scholar working on Cell Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Toxicology, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Skin and Cellular Biology Research (7 papers), Blood properties and coagulation (7 papers), Erythrocyte Function and Pathophysiology (5 papers), CAR-T cell therapy research (5 papers), Protein purification and stability (4 papers), Biosimilars and Bioanalytical Methods (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cell Biology (585 citations), Immunology and Allergy (165 citations), Radiology, Nuclear Medicine and Imaging (549 citations), Immunology (475 citations) and Rheumatology (329 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, Eleonora Candi, Edit I. Buzás, András Falus, Bence György, 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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