Yoav Bauman

578 total citations
9 papers, 480 citations indexed

About

Yoav Bauman is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Yoav Bauman has authored 9 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Yoav Bauman's work include Immune Cell Function and Interaction (7 papers), Full-Duplex Wireless Communications (3 papers) and Polyomavirus and related diseases (3 papers). Yoav Bauman is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Full-Duplex Wireless Communications (3 papers) and Polyomavirus and related diseases (3 papers). Yoav Bauman collaborates with scholars based in Israel, United States and Croatia. Yoav Bauman's co-authors include Ofer Mandelboim, Alon Vitenshtein, Pinchas Tsukerman, Rachel Yamin, Noam Stern‐Ginossar, Dikla Lankry, Daphna Nachmani, Nir Drayman, Ariella Glasner and Chamutal Gur and has published in prestigious journals such as Cancer Research, Cell Host & Microbe and PLoS Pathogens.

In The Last Decade

Yoav Bauman

9 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoav Bauman Israel	8	220	214	132	124	84	9	480
Bizunesh Abere Germany	9	118 0.5×	195 0.9×	204 1.5×	129 1.0×	139 1.7×	12	500
Iris Cornet France	8	67 0.3×	142 0.7×	137 1.0×	77 0.6×	449 5.3×	8	602
Masako Tajima Japan	13	86 0.4×	320 1.5×	75 0.6×	18 0.1×	92 1.1×	15	430
M M Pater Canada	12	79 0.4×	181 0.8×	140 1.1×	22 0.2×	177 2.1×	21	405
Chi-Fang Chang Taiwan	10	125 0.6×	169 0.8×	112 0.8×	17 0.1×	21 0.3×	15	305
Lily Mahapatra United States	11	70 0.3×	98 0.5×	183 1.4×	87 0.7×	31 0.4×	15	382
A. Renee Stewart United States	9	57 0.3×	256 1.2×	120 0.9×	10 0.1×	37 0.4×	11	420
Candice D. Church United States	12	203 0.9×	313 1.5×	63 0.5×	12 0.1×	51 0.6×	30	476
Marko Noerenberg United Kingdom	9	86 0.4×	99 0.5×	286 2.2×	27 0.2×	140 1.7×	11	508
Yuiko Nemoto Japan	11	46 0.2×	274 1.3×	83 0.6×	8 0.1×	204 2.4×	16	443

Countries citing papers authored by Yoav Bauman

Since Specialization

Citations

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

Fields of papers citing papers by Yoav Bauman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Bauman

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

All Works

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9 of 9 papers shown

1.

Vitenshtein, Alon, Yiska Weisblum, Anne Halenius, et al.. (2016). CEACAM1-Mediated Inhibition of Virus Production. Cell Reports. 15(11). 2331–2339. 18 indexed citations

2.

Vitenshtein, Alon, Yoav Charpak‐Amikam, Rachel Yamin, et al.. (2016). NK Cell Recognition of Candida glabrata through Binding of NKp46 and NCR1 to Fungal Ligands Epa1, Epa6, and Epa7. Cell Host & Microbe. 20(4). 527–534. 70 indexed citations

3.

Schmiedel, Dominik, et al.. (2016). The RNA binding protein IMP3 facilitates tumor immune escape by downregulating the stress-induced ligands ULPB2 and MICB. eLife. 5. 42 indexed citations

4.

Yamin, Rachel, et al.. (2016). PILRα binds an unknown receptor expressed primarily on CD56bright and decidual-NK cells and activates NK cell functions. Oncotarget. 7(27). 40953–40964. 7 indexed citations

5.

Bauman, Yoav, Nir Drayman, Orly Ben-nun-Shaul, et al.. (2016). Downregulation of the stress-induced ligand ULBP1 following SV40 infection confers viral evasion from NK cell cytotoxicity. Oncotarget. 7(13). 15369–15381. 20 indexed citations

6.

Yamin, Rachel, Noa Kaynan, Ariella Glasner, et al.. (2013). The Viral KSHV Chemokine vMIP-II Inhibits the Migration of Naive and Activated Human NK Cells by Antagonizing Two Distinct Chemokine Receptors. PLoS Pathogens. 9(8). e1003568–e1003568. 30 indexed citations

7.

Tsukerman, Pinchas, Noam Stern‐Ginossar, Chamutal Gur, et al.. (2012). MiR-10b Downregulates the Stress-Induced Cell Surface Molecule MICB, a Critical Ligand for Cancer Cell Recognition by Natural Killer Cells. Cancer Research. 72(21). 5463–5472. 111 indexed citations

8.

Bauman, Yoav, Daphna Nachmani, Alon Vitenshtein, et al.. (2011). An Identical miRNA of the Human JC and BK Polyoma Viruses Targets the Stress-Induced Ligand ULBP3 to Escape Immune Elimination. Cell Host & Microbe. 9(2). 93–102. 146 indexed citations

9.

Bauman, Yoav & Ofer Mandelboim. (2011). MicroRNA based immunoevasion mechanism of human polyomaviruses. RNA Biology. 8(4). 591–594. 36 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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