Yair Klieger

457 total citations
8 papers, 370 citations indexed

About

Yair Klieger is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yair Klieger has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Yair Klieger's work include Immune cells in cancer (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (2 papers). Yair Klieger is often cited by papers focused on Immune cells in cancer (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (2 papers). Yair Klieger collaborates with scholars based in Israel, Switzerland and Austria. Yair Klieger's co-authors include Michal Baniyash, Olga Mizrahi, Moshe Sade-Feldman, Eliran Ish‐Shalom, Julia Kanterman, Amijai Saragovi, Michal Lotem, Ofer Mandelboim, Dikla Lankry and Francesca Levi‐Schaffer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Diabetes Care.

In The Last Decade

Yair Klieger

8 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yair Klieger Israel 7 251 172 104 27 22 8 370
Christopher Bricogne United Kingdom 6 199 0.8× 206 1.2× 113 1.1× 14 0.5× 25 1.1× 7 355
Siddesh V. Hartimath Singapore 12 179 0.7× 241 1.4× 89 0.9× 27 1.0× 35 1.6× 30 433
Ulrike Schoetz Germany 8 157 0.6× 117 0.7× 125 1.2× 14 0.5× 41 1.9× 9 324
Wai‐Hang Leung United States 11 241 1.0× 105 0.6× 134 1.3× 26 1.0× 8 0.4× 14 411
Jessica Waibl Polania United States 7 202 0.8× 178 1.0× 85 0.8× 17 0.6× 23 1.0× 12 331
Guillermo O. Rangel Rivera United States 10 169 0.7× 185 1.1× 117 1.1× 12 0.4× 38 1.7× 18 337
James C.M. Wang Canada 4 262 1.0× 221 1.3× 99 1.0× 38 1.4× 34 1.5× 6 458
Sarah Petrie United States 5 231 0.9× 115 0.7× 206 2.0× 11 0.4× 20 0.9× 5 410
Laia Gorchs Sweden 10 296 1.2× 281 1.6× 136 1.3× 36 1.3× 21 1.0× 13 520
Caroline Imbert France 7 268 1.1× 278 1.6× 126 1.2× 23 0.9× 31 1.4× 19 468

Countries citing papers authored by Yair Klieger

Since Specialization
Citations

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

Fields of papers citing papers by Yair Klieger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yair Klieger

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

All Works

8 of 8 papers shown
1.
Mizrahi, Olga, et al.. (2017). Quantitative Flow Cytometry: Concerns and Recommendations in Clinic and Research. Cytometry Part B Clinical Cytometry. 94(2). 211–218. 53 indexed citations
2.
Sade-Feldman, Moshe, Julia Kanterman, Yair Klieger, et al.. (2016). Clinical Significance of Circulating CD33+CD11b+HLA-DR− Myeloid Cells in Patients with Stage IV Melanoma Treated with Ipilimumab. Clinical Cancer Research. 22(23). 5661–5672. 171 indexed citations
3.
Ish‐Shalom, Eliran, Yaron Meirow, Moshe Sade-Feldman, et al.. (2015). Impaired SNX9 Expression in Immune Cells during Chronic Inflammation: Prognostic and Diagnostic Implications. The Journal of Immunology. 196(1). 156–167. 18 indexed citations
4.
Stein, Ilan, Yair Klieger, Rinnat M. Porat, et al.. (2014). Acquisition of an immunosuppressive protumorigenic macrophage phenotype depending on c-Jun phosphorylation. Proceedings of the National Academy of Sciences. 111(49). 17582–17587. 47 indexed citations
5.
Eldor, Roy, Yair Klieger, Moshe Sade-Feldman, et al.. (2014). CD247, a Novel T Cell–Derived Diagnostic and Prognostic Biomarker for Detecting Disease Progression and Severity in Patients With Type 2 Diabetes. Diabetes Care. 38(1). 113–118. 19 indexed citations
6.
Klieger, Yair, Osnat Almogi‐Hazan, Eliran Ish‐Shalom, et al.. (2013). Unique ζ‐chain motifs mediate a direct TCR‐actin linkage critical for immunological synapse formation and T‐cell activation. European Journal of Immunology. 44(1). 58–68. 7 indexed citations
7.
Lankry, Dikla, Hrvoje Šimić, Yair Klieger, et al.. (2010). Expression and Function of CD300 in NK Cells. The Journal of Immunology. 185(5). 2877–2886. 53 indexed citations
8.
Klieger, Yair, et al.. (2005). Involvement of Sir2/4 in Silencing of DNA Breakage and Recombination on Mouse YACs during Yeast Meiosis. Molecular Biology of the Cell. 16(3). 1449–1455. 2 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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