S. Segal

2.4k total citations
79 papers, 1.9k citations indexed

About

S. Segal is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, S. Segal has authored 79 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 25 papers in Molecular Biology and 21 papers in Oncology. Recurrent topics in S. Segal's work include Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (12 papers) and Virus-based gene therapy research (11 papers). S. Segal is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (12 papers) and Virus-based gene therapy research (11 papers). S. Segal collaborates with scholars based in Israel, United States and France. S. Segal's co-authors include M. Feldman, Shulamit Katzav, Yacob Weinstein, Sophia Ran, Günter J. Hämmerling, Reinhard Wallich, Nadja Bulbuc, Esther Tzehoval, Daniel Fishman and Joan Rankin Shapiro and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

S. Segal

78 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Segal Israel 23 887 604 480 230 190 79 1.9k
Nathan Trainin Israel 31 1.1k 1.3× 672 1.1× 409 0.9× 173 0.8× 166 0.9× 144 2.8k
Barbara A. Torres United States 27 1.2k 1.4× 661 1.1× 491 1.0× 204 0.9× 98 0.5× 53 2.5k
Daniela Mazzeo United Kingdom 19 1.4k 1.6× 764 1.3× 732 1.5× 176 0.8× 197 1.0× 24 3.0k
H. J. Rapp United States 24 855 1.0× 294 0.5× 251 0.5× 89 0.4× 96 0.5× 86 1.6k
R J Evans United States 13 744 0.8× 798 1.3× 347 0.7× 128 0.6× 105 0.6× 13 1.9k
Sundararajan Jayaraman United States 24 1.1k 1.3× 630 1.0× 208 0.4× 328 1.4× 92 0.5× 89 2.3k
F.G.M. Snijdewint Netherlands 16 889 1.0× 472 0.8× 240 0.5× 155 0.7× 75 0.4× 27 1.9k
Kyoji Hioki Japan 19 874 1.0× 830 1.4× 690 1.4× 441 1.9× 210 1.1× 63 2.6k
William C. Kopp United States 21 881 1.0× 554 0.9× 563 1.2× 123 0.5× 109 0.6× 47 2.0k
Claudia Matteucci Italy 30 972 1.1× 1.0k 1.7× 363 0.8× 232 1.0× 178 0.9× 84 2.4k

Countries citing papers authored by S. Segal

Since Specialization
Citations

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

Fields of papers citing papers by S. Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Segal

This figure shows the co-authorship network connecting the top 25 collaborators of S. Segal. A scholar is included among the top collaborators of S. Segal 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 S. Segal. S. Segal 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.
Fishman, Daniel, et al.. (2007). Impaired access of lymphocytes to neoplastic prostate tissue is associated with neoangiogenesis in the tumour site. British Journal of Cancer. 96(6). 980–985. 2 indexed citations
2.
Segev, Yael, et al.. (2007). Modification of Topoisomerase I Activity by Glucose and by O-Glcnacylation of the Enzyme Protein. Glycobiology. 17(12). 1357–1364. 22 indexed citations
3.
Fishman, Daniel, et al.. (2004). Non-immune Functions of MHC Class I Glycoproteins in Normal and Malignant Cells. Folia Biologica. 50(2). 35–42. 17 indexed citations
4.
Gemer, Ofer, et al.. (2001). Comparative pharmacokinetics of once daily intravenous and intramuscular gentamicin in patients with post partum endometritis. Archives of Gynecology and Obstetrics. 265(1). 34–35. 4 indexed citations
5.
Fishman, Daniel, et al.. (1997). The effects of measles virus persistent infection on AP‐1 transcription factor binding in neuroblastoma cells. FEBS Letters. 410(2-3). 191–194. 5 indexed citations
6.
Benharroch, Daniel, Tikva Yermiahu, David Geffen, et al.. (1995). Expression of c‐myc and c‐ras oncogenes in the neoplastic and non‐neoplastic cells of Hodgkin's disease. European Journal Of Haematology. 55(3). 178–183. 6 indexed citations
7.
Gemer, Ofer, et al.. (1995). Papillary Serous Carcinoma of the Peritoneum. Journal of Obstetrics and Gynaecology. 15(4). 254–258. 1 indexed citations
8.
Gemer, Ofer, et al.. (1995). Uterine adenofibroma presenting as a cystic adnexal mass. Archives of Gynecology and Obstetrics. 256(2). 99–101. 5 indexed citations
9.
Segev, Yael, Bracha Rager‐Zisman, Noah Isakov, et al.. (1994). Reversal of the measles virus-mediated increase of phosphorylating activity in persistently infected mouse neuroblastoma cells by anti-measles virus antibodies. Journal of General Virology. 75(4). 819–827. 8 indexed citations
10.
Aboud, M., Stephen F. Kingsmore, & S. Segal. (1993). Role of natural killer cells in controlling local tumor formation and metastatic manifestation of different 3LL Lewis lung carcinoma cell clones.. PubMed. 12(1). 17–24. 15 indexed citations
11.
Huleihel, Mahmoud, et al.. (1991). Amplification of the Moloney murine leukaemia virus genome and its possible role in facilitation of chemical carcinogenesis in normal rat kidney cells. Journal of General Virology. 72(9). 2317–2320. 2 indexed citations
12.
Kuperman, O, Jed Goldstein, Lily Neumann, et al.. (1991). Cellular B-2 Microglobulin Expression as a Prognostic Indicator in Renal Cell Carcinoma. Acta Oncologica. 30(8). 941–945. 8 indexed citations
13.
Gopas, Jacob, Bracha Rager‐Zisman, Iris Har‐Vardi, et al.. (1989). NK SENSITIVITY, H‐2 EXPRESSION AND METASTATIC POTENTIAL: ANALYSIS OF H‐2Dk GENE TRANSFECTED FIBROSARCOMA CELLS. International Journal of Immunogenetics. 16(4-5). 305–313. 8 indexed citations
14.
15.
Herishanu, Y., et al.. (1989). A possible harmful late effect of methylprednisolone therapy on a time cluster of optic neuritis. Acta Neurologica Scandinavica. 80(6). 569–574. 14 indexed citations
16.
Rager‐Zisman, Bracha, Jacob Gopas, Menashe Bar‐Eli, et al.. (1988). NK Sensitivity, H-2, c-K-ras Proto-Oncogene Expression and Metastases: Analysis of the Metastatic Potential of H-2 Gene Transfected Fibrosarcoma Cells. Advances in experimental medicine and biology. 233. 151–160. 2 indexed citations
17.
Weinstein, Yacob, Sophia Ran, & S. Segal. (1984). Sex-associated differences in the regulation of immune responses controlled by the MHC of the mouse.. The Journal of Immunology. 132(2). 656–661. 213 indexed citations
18.
Shalev, A, Marika Pla, Guy Echalier, et al.. (1983). Evidence for beta  2-microglobulin-like and H-2-like antigenic determinants in Drosophila.. The Journal of Immunology. 130(1). 297–302. 27 indexed citations
19.
Gorelik, Eliezer, S. Segal, & M. Feldman. (1980). Host’s Immune State and Kinetics of Local Tumor Growth Control — Progression of Postoperative Lung Metastasis. Recent results in cancer research. 75. 20–28. 3 indexed citations
20.
Silverstein, Arthur M. & S. Segal. (1975). The ontogeny of antigen-specific T cells.. The Journal of Experimental Medicine. 142(3). 802–804. 17 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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