Riki Perlman

1.0k total citations
31 papers, 832 citations indexed

About

Riki Perlman is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Riki Perlman has authored 31 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Riki Perlman's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cell death mechanisms and regulation (5 papers) and RNA Interference and Gene Delivery (4 papers). Riki Perlman is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cell death mechanisms and regulation (5 papers) and RNA Interference and Gene Delivery (4 papers). Riki Perlman collaborates with scholars based in Israel, United States and Palestinian Territory. Riki Perlman's co-authors include Harvey F. Lodish, Mary W. Brooks, William P. Schiemann, Robert A. Weinberg, Alexander Levitzki, Dina Ben‐Yehuda, David Engelberg, Marshall E. Kadin, Dirk Lindemann and Petra Knaus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Riki Perlman

29 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riki Perlman Israel 13 577 216 99 98 95 31 832
Xianbo Huang China 15 328 0.6× 140 0.6× 101 1.0× 95 1.0× 87 0.9× 42 606
Wenyu Yu Taiwan 20 508 0.9× 218 1.0× 110 1.1× 220 2.2× 71 0.7× 35 910
Fan Liu China 19 982 1.7× 141 0.7× 90 0.9× 43 0.4× 61 0.6× 58 1.2k
Patricio Gariglio Mexico 18 649 1.1× 256 1.2× 114 1.2× 146 1.5× 45 0.5× 57 1.0k
Claudia M. Espitia United States 17 646 1.1× 270 1.3× 105 1.1× 159 1.6× 59 0.6× 39 1.1k
Annette Schmitz France 17 590 1.0× 160 0.7× 139 1.4× 635 6.5× 76 0.8× 40 1.3k
Ronit Aloni-Grinstein Israel 17 632 1.1× 438 2.0× 76 0.8× 146 1.5× 36 0.4× 33 964
Hari Raghu United States 11 260 0.5× 364 1.7× 165 1.7× 64 0.7× 90 0.9× 11 790
Jason Lamontagne United States 16 266 0.5× 140 0.6× 80 0.8× 89 0.9× 43 0.5× 20 756
María Paz Zafra Spain 16 736 1.3× 193 0.9× 114 1.2× 213 2.2× 57 0.6× 23 1.0k

Countries citing papers authored by Riki Perlman

Since Specialization
Citations

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

Fields of papers citing papers by Riki Perlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riki Perlman

This figure shows the co-authorship network connecting the top 25 collaborators of Riki Perlman. A scholar is included among the top collaborators of Riki Perlman 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 Riki Perlman. Riki Perlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Perlman, Riki, et al.. (2026). CD74-Targeted Cathepsin-Inhibitor Antibody–Drug Conjugate Triggers Apoptosis in DLBCL. Cells. 15(3). 291–291.
2.
Abd‐Elrahman, Ihab, et al.. (2020). Novel targeted mtLivin nanoparticles treatment for disseminated diffuse large B-cell lymphoma. Oncogene. 40(2). 334–344. 4 indexed citations
3.
Gomel, Nir, Riki Perlman, Eldad Ben‐Chetrit, et al.. (2019). SNP variations in IL10, TNFα and TNFAIP3 genes in patients with dry eye syndrome and Sjogren’s syndrome. Journal of Inflammation. 16(1). 6–6. 6 indexed citations
4.
Klil‐Drori, Adi J., Geffen Kleinstern, Ziad Abdeen, et al.. (2018). Serum organochlorines and non-Hodgkin lymphoma: A case-control study in Israeli Jews and Palestinians. Chemosphere. 213. 395–402. 6 indexed citations
5.
Kleinstern, Geffen, et al.. (2018). Presence of autoimmune disease affects not only risk but also survival in patients with B‐cell non‐Hodgkin lymphoma. Hematological Oncology. 36(2). 457–462. 11 indexed citations
6.
7.
Kleinstern, Geffen, Riki Perlman, Ziad Abdeen, et al.. (2017). Ethnic variation in medical and lifestyle risk factors for B cell non-Hodgkin lymphoma: A case-control study among Israelis and Palestinians. PLoS ONE. 12(2). e0171709–e0171709. 15 indexed citations
8.
Krichevsky, Svetlana, Eugenia Prus, Riki Perlman, Eitan Fibach, & Dina Ben‐Yehuda. (2017). The JAK2V617F mutation in normal individuals takes place in differentiating cells. Blood Cells Molecules and Diseases. 63. 45–51. 1 indexed citations
9.
Berens, Christian, et al.. (2014). tLivin Displays Flexibility by Promoting Alternative Cell Death Mechanisms. PLoS ONE. 9(6). e101075–e101075. 3 indexed citations
10.
Engelberg, David, Riki Perlman, & Alexander Levitzki. (2014). Transmembrane signaling in Saccharomyces cerevisiae as a model for signaling in metazoans: State of the art after 25years. Cellular Signalling. 26(12). 2865–2878. 45 indexed citations
11.
Abd‐Elrahman, Ihab, V Deutsch, Marjorie Pick, et al.. (2013). Differential regulation of the apoptotic machinery during megakaryocyte differentiation and platelet production by inhibitor of apoptosis protein Livin. Cell Death and Disease. 4(11). e937–e937. 12 indexed citations
12.
Perlman, Riki, et al.. (2012). The Clinical Effect of the Inhibitor of Apopotosis Protein Livin in Melanoma. Oncology. 82(4). 197–204. 27 indexed citations
13.
Weinberg, Ido, et al.. (2011). Janus Kinase V617F mutation in cigarette smokers. American Journal of Hematology. 87(1). 5–8. 20 indexed citations
14.
Nachmias, Boaz, et al.. (2007). Subcellular localization determines the delicate balance between the anti- and pro-apoptotic activity of Livin. APOPTOSIS. 12(7). 1129–1142. 26 indexed citations
15.
Perlman, Riki, William P. Schiemann, Mary W. Brooks, Harvey F. Lodish, & Robert A. Weinberg. (2001). TGF-β-induced apoptosis is mediated by the adapter protein Daxx that facilitates JNK activation. Nature Cell Biology. 3(8). 708–714. 295 indexed citations
16.
Perlman, Riki, Y. Eilam, Etana Padan, Giora Simchen, & Alexander Levitzki. (1989). Rapid intracellular alkalinization of Saccharomyces cerevisiae MATa cells in response to α-factor requires the CDC25 gene product. Cellular Signalling. 1(6). 577–586. 8 indexed citations
17.
Perlman, Riki, et al.. (1989). Transmembrane signalling in Saccharomyces cerevisiae. Cellular Signalling. 1(1). 1–7. 36 indexed citations
18.
19.
Bar, Arie, Jacob Rosenberg, Riki Perlman, & S. Hurwitz. (1987). Field Rickets in Turkeys: Relationship to Vitamin D. Poultry Science. 66(1). 68–72. 11 indexed citations
20.
Perlman, Riki, et al.. (1987). Use of 1α-Hydroxyvitamin D3 in the Prevention of Bovine Parturient Paresis. IX. Early and Late Effects of a Single Injection. Journal of Dairy Science. 70(8). 1671–1675. 8 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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