Adit Ben‐Baruch

9.3k total citations
88 papers, 6.8k citations indexed

About

Adit Ben‐Baruch is a scholar working on Oncology, Immunology and Immunology and Allergy. According to data from OpenAlex, Adit Ben‐Baruch has authored 88 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Oncology, 59 papers in Immunology and 25 papers in Immunology and Allergy. Recurrent topics in Adit Ben‐Baruch's work include Chemokine receptors and signaling (59 papers), Immunotherapy and Immune Responses (39 papers) and Cell Adhesion Molecules Research (25 papers). Adit Ben‐Baruch is often cited by papers focused on Chemokine receptors and signaling (59 papers), Immunotherapy and Immune Responses (39 papers) and Cell Adhesion Molecules Research (25 papers). Adit Ben‐Baruch collaborates with scholars based in Israel, United States and Germany. Adit Ben‐Baruch's co-authors include Gali Soria, Joost J. Oppenheim, Tsipi Meshel, Dennis F. Michiel, Isaac P. Witz, Orit Sagi‐Assif, Polina Weitzenfeld, O. M. Zack Howard, Sima Shina and Iafa Keydar and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Adit Ben‐Baruch

86 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adit Ben‐Baruch Israel 44 4.1k 3.5k 2.1k 877 742 88 6.8k
Anja Müller Germany 24 4.3k 1.0× 3.7k 1.0× 2.0k 1.0× 761 0.9× 1.2k 1.6× 39 7.8k
Terri McClanahan United States 21 4.1k 1.0× 4.1k 1.2× 2.1k 1.0× 758 0.9× 1.4k 1.9× 37 8.3k
Robert J. B. Nibbs United Kingdom 45 4.0k 1.0× 4.6k 1.3× 1.8k 0.8× 309 0.4× 569 0.8× 99 7.4k
G. Kenneth Haines United States 43 2.2k 0.5× 2.3k 0.7× 2.1k 1.0× 702 0.8× 1.1k 1.5× 92 6.6k
Curzio Rüegg Switzerland 45 2.2k 0.5× 1.8k 0.5× 3.0k 1.4× 1.3k 1.5× 1.0k 1.4× 132 6.4k
Mario Mellado Spain 49 3.6k 0.9× 4.5k 1.3× 2.7k 1.3× 320 0.4× 900 1.2× 122 8.3k
Elaine Y. Lin United States 31 4.0k 1.0× 3.9k 1.1× 3.5k 1.7× 1.6k 1.8× 441 0.6× 41 8.5k
Allen T. Bruce United States 13 4.1k 1.0× 6.5k 1.9× 2.1k 1.0× 646 0.7× 265 0.4× 16 9.2k
Sophia Ran United States 35 2.7k 0.7× 2.5k 0.7× 3.1k 1.5× 1.0k 1.2× 227 0.3× 74 6.6k
Koichi Nakajima Japan 46 4.0k 1.0× 3.8k 1.1× 3.6k 1.8× 1.2k 1.3× 273 0.4× 95 9.4k

Countries citing papers authored by Adit Ben‐Baruch

Since Specialization
Citations

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

Fields of papers citing papers by Adit Ben‐Baruch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adit Ben‐Baruch. 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 Adit Ben‐Baruch. The network helps show where Adit Ben‐Baruch may publish in the future.

Co-authorship network of co-authors of Adit Ben‐Baruch

This figure shows the co-authorship network connecting the top 25 collaborators of Adit Ben‐Baruch. A scholar is included among the top collaborators of Adit Ben‐Baruch 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 Adit Ben‐Baruch. Adit Ben‐Baruch 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.
Ben‐Baruch, Adit. (2025). Partners in crime: TNFα-based networks promoting cancer progression.. 8(CITIM). 26–26.
2.
Ben‐Baruch, Adit. (2025). The Tumor Immune Environment: Advances in the Cancer Immunotherapy Era. Methods in molecular biology. 2926. 15–34.
3.
4.
Ben‐Baruch, Adit, et al.. (2021). Inflammation-Driven Breast Tumor Cell Plasticity: Stemness/EMT, Therapy Resistance and Dormancy. Frontiers in Oncology. 10. 614468–614468. 44 indexed citations
5.
Liubomirski, Yulia, Shalom Lerrer, Tsipi Meshel, et al.. (2019). Tumor-Stroma-Inflammation Networks Promote Pro-metastatic Chemokines and Aggressiveness Characteristics in Triple-Negative Breast Cancer. Frontiers in Immunology. 10. 757–757. 138 indexed citations
6.
Liubomirski, Yulia, Shalom Lerrer, Tsipi Meshel, et al.. (2019). Notch-Mediated Tumor-Stroma-Inflammation Networks Promote Invasive Properties and CXCL8 Expression in Triple-Negative Breast Cancer. Frontiers in Immunology. 10. 804–804. 49 indexed citations
7.
Netanely, Dvir, Ayelet Avraham, Adit Ben‐Baruch, Ella Evron, & Ron Shamir. (2016). Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups. Breast Cancer Research. 18(1). 117–117. 61 indexed citations
8.
Soria, Gali, Marcelo Ehrlich, Tsipi Meshel, et al.. (2012). Mechanisms Regulating the Secretion of the Promalignancy Chemokine CCL5 by Breast Tumor Cells: CCL5's 40s Loop and Intracellular Glycosaminoglycans. Neoplasia. 14(1). 1–IN3. 15 indexed citations
9.
Soria, Gali, Ilana Haas, Neora Yaal‐Hahoshen, et al.. (2011). Inflammatory mediators in breast cancer: Coordinated expression of TNFα & IL-1β with CCL2 & CCL5 and effects on epithelial-to-mesenchymal transition. BMC Cancer. 11(1). 130–130. 227 indexed citations
10.
Garty, Ben Zion, et al.. (2009). Pneumocystis jirovecii pneumonia in a baby with hyper-IgE syndrome. European Journal of Pediatrics. 169(1). 35–37. 12 indexed citations
11.
Soria, Gali & Adit Ben‐Baruch. (2008). The inflammatory chemokines CCL2 and CCL5 in breast cancer. Cancer Letters. 267(2). 271–285. 474 indexed citations
12.
Ben‐Baruch, Adit. (2007). Organ selectivity in metastasis: regulation by chemokines and their receptors. Clinical & Experimental Metastasis. 25(4). 345–356. 208 indexed citations
13.
14.
Goldberg-Bittman, Lilach, Eran Neumark, Orit Sagi‐Assif, et al.. (2004). The expression of the chemokine receptor CXCR3 and its ligand, CXCL10, in human breast adenocarcinoma cell lines. Immunology Letters. 92(1-2). 171–178. 73 indexed citations
15.
Sagi‐Assif, Orit, et al.. (2001). A Possible Role for CXCR4 and Its Ligand, the CXC Chemokine Stromal Cell-Derived Factor-1, in the Development of Bone Marrow Metastases in Neuroblastoma. The Journal of Immunology. 167(8). 4747–4757. 334 indexed citations
16.
Zaslaver, Alon, Rotem Feniger-Barish, & Adit Ben‐Baruch. (2001). Actin Filaments Are Involved in the Regulation of Trafficking of Two Closely Related Chemokine Receptors, CXCR1 and CXCR2. The Journal of Immunology. 166(2). 1272–1284. 49 indexed citations
17.
Grimm, Michael, et al.. (1998). Opiate Inhibition of Chemokine‐Induced Chemotaxis. Annals of the New York Academy of Sciences. 840(1). 9–20. 68 indexed citations
18.
Gong, Xiaoqi, Wanghua Gong, Douglas B. Kuhns, et al.. (1997). Monocyte Chemotactic Protein-2 (MCP-2) Uses CCR1 AND CCR2B as Its Functional Receptors. Journal of Biological Chemistry. 272(18). 11682–11685. 119 indexed citations
19.
Ben‐Baruch, Adit, Dennis F. Michiel, & Joost J. Oppenheim. (1995). Signals and Receptors Involved in Recruitment of Inflammatory Cells. Journal of Biological Chemistry. 270(20). 11703–11706. 347 indexed citations
20.
Ben‐Baruch, Adit, Kathleen Bengali, Arya Biragyn, et al.. (1995). Interleukin-8 Receptor β. Journal of Biological Chemistry. 270(16). 9121–9128. 65 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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