Vitaly Ablamunits

1.4k total citations
29 papers, 1.1k citations indexed

About

Vitaly Ablamunits is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Vitaly Ablamunits has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 10 papers in Immunology and 8 papers in Surgery. Recurrent topics in Vitaly Ablamunits's work include Diabetes and associated disorders (13 papers), Immune Cell Function and Interaction (8 papers) and Pancreatic function and diabetes (8 papers). Vitaly Ablamunits is often cited by papers focused on Diabetes and associated disorders (13 papers), Immune Cell Function and Interaction (8 papers) and Pancreatic function and diabetes (8 papers). Vitaly Ablamunits collaborates with scholars based in United States, Israel and Russia. Vitaly Ablamunits's co-authors include Kevan C. Herold, Dana Elias, Irun R. Cohen, Octavian Henegariu, Tamara Reshef, Brygida Bisikirska, Simon Klebanov, Ohad S. Birk, Jasmin Lebastchi and Stephanie Könen‐Waisman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Vitaly Ablamunits

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vitaly Ablamunits United States 18 541 406 401 296 265 29 1.1k
Antonella Maffei Italy 24 385 0.7× 631 1.6× 750 1.9× 324 1.1× 314 1.2× 54 1.6k
J P Mordes United States 16 626 1.2× 462 1.1× 707 1.8× 158 0.5× 237 0.9× 23 1.3k
Helle Markholst Denmark 18 493 0.9× 305 0.8× 459 1.1× 201 0.7× 179 0.7× 51 933
Kimio Matsumura Japan 13 147 0.3× 417 1.0× 461 1.1× 509 1.7× 237 0.9× 19 1.3k
Izortze Santín Spain 20 870 1.6× 853 2.1× 461 1.1× 748 2.5× 377 1.4× 42 1.9k
Akira Kasuga Japan 20 900 1.7× 600 1.5× 299 0.7× 183 0.6× 595 2.2× 44 1.3k
Harold D. Chapman United States 23 1.5k 2.7× 849 2.1× 1.2k 3.1× 249 0.8× 489 1.8× 42 2.1k
Lianne van de Laar Netherlands 11 168 0.3× 245 0.6× 805 2.0× 387 1.3× 100 0.4× 14 1.3k
Ditte Tornehave Denmark 16 221 0.4× 312 0.8× 182 0.5× 387 1.3× 230 0.9× 30 1.0k
M. Lau United States 16 311 0.6× 123 0.3× 422 1.1× 461 1.6× 141 0.5× 40 1.3k

Countries citing papers authored by Vitaly Ablamunits

Since Specialization
Citations

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

Fields of papers citing papers by Vitaly Ablamunits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vitaly Ablamunits

This figure shows the co-authorship network connecting the top 25 collaborators of Vitaly Ablamunits. A scholar is included among the top collaborators of Vitaly Ablamunits 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 Vitaly Ablamunits. Vitaly Ablamunits 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.
Ablamunits, Vitaly & Christopher Lepsy. (2022). Blocking TNF signaling may save lives in COVID-19 infection. Molecular Biology Reports. 49(3). 2303–2309. 25 indexed citations
2.
3.
Dentovskaya, Svetlana V., М. E. Platonov, Rima Z. Shaikhutdinova, et al.. (2016). Two Isoforms of Yersinia pestis Plasminogen Activator Pla: Intraspecies Distribution, Intrinsic Disorder Propensity, and Contribution to Virulence. PLoS ONE. 11(12). e0168089–e0168089. 6 indexed citations
4.
Ablamunits, Vitaly, Octavian Henegariu, Jakob Bondo Hansen, et al.. (2011). Synergistic Reversal of Type 1 Diabetes in NOD Mice With Anti-CD3 and Interleukin-1 Blockade. Diabetes. 61(1). 145–154. 90 indexed citations
5.
Ablamunits, Vitaly, Octavian Henegariu, Paula Preston‐Hurlburt, & Kevan C. Herold. (2011). NKG2A is a marker for acquisition of regulatory function by human CD8+ T cells activated with anti‐CD3 antibody. European Journal of Immunology. 41(7). 1832–1842. 16 indexed citations
6.
Ablamunits, Vitaly, Simon Klebanov, Sharon Giese, & Kevan C. Herold. (2011). Functional human to mouse adipose tissue xenotransplantation. Journal of Endocrinology. 212(1). 41–47. 7 indexed citations
7.
8.
Ablamunits, Vitaly & Kevan C. Herold. (2008). Generation and function of human regulatory CD8+ T cells induced by a humanized OKT3 monoclonal antibody hOKT3γ1(Ala-Ala). Human Immunology. 69(11). 732–736. 11 indexed citations
9.
Ablamunits, Vitaly, Brygida Bisikirska, & Kevan C. Herold. (2008). Human Regulatory CD8+ T Cells. Annals of the New York Academy of Sciences. 1150(1). 234–238. 22 indexed citations
10.
Ablamunits, Vitaly, Nicole Sherry, Jake A. Kushner, & Kevan C. Herold. (2007). Autoimmunity and β Cell Regeneration in Mouse and Human Type 1 Diabetes. Annals of the New York Academy of Sciences. 1103(1). 19–32. 40 indexed citations
11.
Ablamunits, Vitaly, et al.. (2007). Acute Rejection of White Adipose Tissue Allograft. Cell Transplantation. 16(4). 375–390. 5 indexed citations
12.
Ablamunits, Vitaly, Stuart P. Weisberg, Jacob E. Lemieux, Terry P. Combs, & Simon Klebanov. (2007). Reduced Adiposity in ob/ob Mice following Total Body Irradiation and Bone Marrow Transplantation. Obesity. 15(6). 1419–1429. 35 indexed citations
13.
Klebanov, Simon, et al.. (2005). Adipose tissue transplantation protects ob/ob mice from obesity, normalizes insulin sensitivity and restores fertility. Journal of Endocrinology. 186(1). 203–211. 50 indexed citations
14.
Ablamunits, Vitaly. (2005). The importance of APC. PubMed. 2(1). 3–3. 2 indexed citations
15.
D’Cruz, David & Vitaly Ablamunits. (2004). Why do we need a new journal in autoimmunity?. PubMed. 1(1). 1–1. 3 indexed citations
16.
Koch‐Nolte, Friedrich, Ted Duffy, Marion Nissen, et al.. (1999). A New Monoclonal Antibody Detects a Developmentally Regulated Mouse Ecto-ADP-Ribosyltransferase on T Cells: Subset Distribution, Inbred Strain Variation, and Modulation Upon T Cell Activation. The Journal of Immunology. 163(11). 6014–6022. 65 indexed citations
17.
Ablamunits, Vitaly, Dana Elias, & Irun R. Cohen. (1999). The pathogenicity of islet-infiltrating lymphocytes in the non-obese diabetic (NOD) mouse. Clinical & Experimental Immunology. 115(2). 260–267. 37 indexed citations
18.
Arava, Yoav, et al.. (1999). Specific gene expression in pancreatic beta-cells: cloning and characterization of differentially expressed genes.. Diabetes. 48(3). 552–556. 30 indexed citations
19.
Ablamunits, Vitaly, Francisco J. Quintana, Tamara Reshef, Dana Elias, & Irun R. Cohen. (1999). Acceleration of Autoimmune Diabetes by Cyclophosphamide is Associated with an Enhanced IFN-γ Secretion Pathway. Journal of Autoimmunity. 13(4). 383–392. 36 indexed citations
20.
Ablamunits, Vitaly, Dana Elias, Tamara Reshef, & Irun R. Cohen. (1998). Islet T Cells Secreting IFN-γ in NOD Mouse Diabetes: Arrest by p277 Peptide Treatment. Journal of Autoimmunity. 11(1). 73–81. 37 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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