Kfir Oved

1.4k total citations
21 papers, 345 citations indexed

About

Kfir Oved is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Kfir Oved has authored 21 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Kfir Oved's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CAR-T cell therapy research (5 papers). Kfir Oved is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CAR-T cell therapy research (5 papers). Kfir Oved collaborates with scholars based in Israel, United States and Netherlands. Kfir Oved's co-authors include Yoram Reiter, Roy Noy, Eran Eden, Avital Lev, Michal J. Besser, Asi Cohen, Jacob Schachter, Nikolaus C. Netzer, Tanya Gottlieb and Peter Walden 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

Kfir Oved

19 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kfir Oved Israel 12 132 123 94 72 36 21 345
Amber Pham United States 8 115 0.9× 62 0.5× 69 0.7× 187 2.6× 161 4.5× 13 464
Rasmus Gustafsson Sweden 12 132 1.0× 51 0.4× 97 1.0× 73 1.0× 19 0.5× 21 308
Joanna Peterkin United States 12 72 0.5× 117 1.0× 48 0.5× 106 1.5× 9 0.3× 17 553
Peter Sullivan United States 6 24 0.2× 56 0.5× 48 0.5× 80 1.1× 14 0.4× 19 391
Kimberly Walker United States 13 14 0.1× 42 0.3× 93 1.0× 77 1.1× 11 0.3× 21 414
Christine P. Bono United States 11 138 1.0× 26 0.2× 30 0.3× 93 1.3× 88 2.4× 16 390
Krishna Patel United States 9 124 0.9× 172 1.4× 34 0.4× 141 2.0× 17 0.5× 24 448
L James United States 7 45 0.3× 16 0.1× 26 0.3× 74 1.0× 8 0.2× 9 284

Countries citing papers authored by Kfir Oved

Since Specialization
Citations

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

Fields of papers citing papers by Kfir Oved

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kfir Oved

This figure shows the co-authorship network connecting the top 25 collaborators of Kfir Oved. A scholar is included among the top collaborators of Kfir Oved 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 Kfir Oved. Kfir Oved 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.
Lacroix, Laurence, Arnaud G. L’Huillier, Kristina Keitel, et al.. (2023). Host biomarkers and combinatorial scores for the detection of serious and invasive bacterial infection in pediatric patients with fever without source. PLoS ONE. 18(11). e0294032–e0294032. 9 indexed citations
2.
Ashkenazi‐Hoffnung, Liat, Gilat Livni, Oded Scheuerman, et al.. (2021). Differential Serum and Urine CRP, IP-10, and TRAIL Levels in Pediatric Urinary Tract Infection. Frontiers in Pediatrics. 9. 771118–771118. 8 indexed citations
3.
Gottlieb, Tanya, Isaac Srugo, Alain Gervaix, et al.. (2019). 2624. Viral Pneumonia in Children: Facing the Challenge Using the Host Response. Open Forum Infectious Diseases. 6(Supplement_2). S914–S914. 1 indexed citations
4.
Ashkenazi‐Hoffnung, Liat, Kfir Oved, Roy Navon, et al.. (2018). A host-protein signature is superior to other biomarkers for differentiating between bacterial and viral disease in patients with respiratory infection and fever without source: a prospective observational study. European Journal of Clinical Microbiology & Infectious Diseases. 37(7). 1361–1371. 56 indexed citations
5.
6.
Sijbrandij, Marit, et al.. (2018). Development and testing of TraumaGameplay: an iterative experimental approach using the trauma film paradigm. European journal of psychotraumatology. 9(1). 1424447–1424447. 21 indexed citations
7.
Sijbrandij, Marit, et al.. (2018). Desarrollo y prueba de TraumaGameplay: Un abordaje experimental iterativo utilizando el paradigma de la película sobre el trauma. University of Southern Denmark Research Portal (University of Southern Denmark). 9(1). 1–15. 21 indexed citations
8.
Shapira, Maanit, Olga Boico, Asi Cohen, et al.. (2018). Automating a New Host-Protein Assay for Differentiating Bacterial from Viral Infection to Reduce Operator Hands-On Time. BioTechniques. 65(2). 93–95.
9.
Oved, Kfir, Asi Cohen, Olga Boico, et al.. (2016). Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand Protein as a Marker for Disease Severity in Patients With Acute Infection. Open Forum Infectious Diseases. 3(suppl_1).
10.
Noy, Roy, et al.. (2015). Recruitment of Oligoclonal Viral-Specific T cells to Kill Human Tumor Cells Using Single-Chain Antibody–Peptide–HLA Fusion Molecules. Molecular Cancer Therapeutics. 14(6). 1327–1335. 2 indexed citations
11.
Cohen, Asi, Louis Bont, Dan Engelhard, et al.. (2015). A multifaceted ‘omics’ Approach for Addressing the Challenge of Antimicrobial Resistance. Future Microbiology. 10(3). 365–376. 22 indexed citations
12.
Oved, Kfir, et al.. (2014). Antigen-Dependent Integration of Opposing Proximal TCR-Signaling Cascades Determines the Functional Fate of T Lymphocytes. The Journal of Immunology. 192(5). 2109–2119. 26 indexed citations
13.
Oved, Kfir, et al.. (2010). Direct visualization of the dynamics of antigen presentation in human cells infected with cytomegalovirus revealed by antibodies mimicking TCR specificity. European Journal of Immunology. 40(6). 1552–1565. 27 indexed citations
14.
Markel, Gal, Michal J. Besser, Kfir Oved, et al.. (2009). Preclinical evaluation of adoptive cell therapy for patients with metastatic renal cell carcinoma.. PubMed. 29(1). 145–54. 33 indexed citations
15.
Besser, Michal J., Ester Schallmach, Kfir Oved, et al.. (2009). Modifying interleukin-2 concentrations during culture improves function of T cells for adoptive immunotherapy. Cytotherapy. 11(2). 206–217. 19 indexed citations
16.
Oved, Kfir, Eran Eden, Roy Noy, et al.. (2009). Predicting and controlling the reactivity of immune cell populations against cancer. Molecular Systems Biology. 5(1). 265–265. 12 indexed citations
17.
Oved, Kfir, Omer Ziv, Jasmine Jacob‐Hirsch, et al.. (2007). A Novel Postpriming Regulatory Check Point of Effector/Memory T Cells Dictated through Antigen Density Threshold-Dependent Anergy. The Journal of Immunology. 178(4). 2307–2317. 14 indexed citations
18.
Noy, Roy, et al.. (2006). Selective antibody‐mediated targeting of class I MHC to EGFR‐expressing tumor cells induces potent antitumor CTL activity in vitro and in vivo. International Journal of Cancer. 120(2). 329–336. 10 indexed citations
19.
20.
Lev, Avital, Roy Noy, Kfir Oved, et al.. (2004). Tumor-specific Ab-mediated targeting of MHC-peptide complexes induces regression of human tumor xenograftsin vivo. Proceedings of the National Academy of Sciences. 101(24). 9051–9056. 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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