Tanya Goncharov

3.9k total citations · 2 hit papers
7 papers, 3.3k citations indexed

About

Tanya Goncharov is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Tanya Goncharov has authored 7 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biotechnology. Recurrent topics in Tanya Goncharov's work include Cell death mechanisms and regulation (5 papers), RNA Interference and Gene Delivery (2 papers) and Virus-based gene therapy research (2 papers). Tanya Goncharov is often cited by papers focused on Cell death mechanisms and regulation (5 papers), RNA Interference and Gene Delivery (2 papers) and Virus-based gene therapy research (2 papers). Tanya Goncharov collaborates with scholars based in Israel, France and Germany. Tanya Goncharov's co-authors include David Wallach, Mark Boldin, Eugene Varfolomeev, Tama Sobe, Helmut Holtmann, Marcus Schuchmann, Denis Rebrikov, Oliver Kemper, Dror Soffer and J. Beckmann and has published in prestigious journals such as Cell, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Tanya Goncharov

7 papers receiving 3.3k citations

Hit Papers

Involvement of MACH, a Novel MORT1/FADD-Interacting Prote... 1996 2026 2006 2016 1996 1998 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tanya Goncharov Israel 7 2.8k 1.2k 628 623 444 7 3.3k
James D. Bretz United States 15 2.6k 0.9× 1.3k 1.0× 590 0.9× 617 1.0× 423 1.0× 24 3.3k
Igor Mett Israel 14 2.5k 0.9× 1.1k 0.9× 704 1.1× 475 0.8× 337 0.8× 18 3.2k
Christopher J. Donahue United States 16 2.6k 0.9× 1.4k 1.2× 694 1.1× 620 1.0× 324 0.7× 24 3.8k
Tencho Tenev United Kingdom 31 3.5k 1.3× 1.5k 1.2× 494 0.8× 837 1.3× 580 1.3× 46 4.4k
Marc Van de Craen Belgium 19 2.0k 0.7× 877 0.7× 381 0.6× 353 0.6× 433 1.0× 21 2.7k
Peter Schow United States 17 2.1k 0.8× 1.4k 1.2× 766 1.2× 760 1.2× 297 0.7× 20 3.3k
Irene L. Ch’en United States 13 2.1k 0.8× 1.4k 1.1× 411 0.7× 417 0.7× 447 1.0× 16 2.9k
Andrew Kovalenko Israel 20 2.4k 0.9× 1.8k 1.5× 1.1k 1.8× 529 0.8× 365 0.8× 30 3.4k
Nicolas Bidère France 26 2.0k 0.7× 1.4k 1.2× 798 1.3× 484 0.8× 354 0.8× 59 3.3k
Bernard A. Callus Australia 20 1.8k 0.7× 855 0.7× 640 1.0× 569 0.9× 249 0.6× 40 2.7k

Countries citing papers authored by Tanya Goncharov

Since Specialization
Citations

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

Fields of papers citing papers by Tanya Goncharov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Goncharov

This figure shows the co-authorship network connecting the top 25 collaborators of Tanya Goncharov. A scholar is included among the top collaborators of Tanya Goncharov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanya Goncharov. Tanya Goncharov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Greenberger, Shoshana, Aviv Shaish, Nira Varda‐Bloom, et al.. (2004). Transcription-controlled gene therapy against tumor angiogenesis. Journal of Clinical Investigation. 113(7). 1017–1024. 35 indexed citations
2.
Greenberger, Shoshana, Aviv Shaish, Nira Varda‐Bloom, et al.. (2004). Transcription-controlled gene therapy against tumor angiogenesis. Journal of Clinical Investigation. 113(7). 1017–1024. 40 indexed citations
3.
Zalcenstein, Amir, Perry Stambolsky, Lilach Weisz, et al.. (2003). Mutant p53 gain of function: repression of CD95(Fas/APO-1) gene expression by tumor-associated p53 mutants. Oncogene. 22(36). 5667–5676. 105 indexed citations
4.
Wallach, David, Thangavelu U. Arumugam, Mark Boldin, et al.. (2002). How are the regulators regulated? The search for mechanisms that impose specificity on induction of cell death and NF-kappaB activation by members of the TNF/NGF receptor family.. Arthritis Research. 4(Suppl 3). S189–S189. 40 indexed citations
5.
Varfolomeev, Eugene, Marcus Schuchmann, Victor Luria, et al.. (1998). Targeted Disruption of the Mouse Caspase 8 Gene Ablates Cell Death Induction by the TNF Receptors, Fas/Apo1, and DR3 and Is Lethal Prenatally. Immunity. 9(2). 267–276. 999 indexed citations breakdown →
6.
Boldin, Mark, et al.. (1996). Involvement of MACH, a Novel MORT1/FADD-Interacting Protease, in Fas/APO-1- and TNF Receptor–Induced Cell Death. Cell. 85(6). 803–815. 1991 indexed citations breakdown →
7.
Varfolomeev, Eugene, Mark Boldin, Tanya Goncharov, & David Wallach. (1996). A potential mechanism of "cross-talk" between the p55 tumor necrosis factor receptor and Fas/APO1: proteins binding to the death domains of the two receptors also bind to each other.. The Journal of Experimental Medicine. 183(3). 1271–1275. 109 indexed citations

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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