Jordan Shafran

483 total citations
10 papers, 264 citations indexed

About

Jordan Shafran is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jordan Shafran has authored 10 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Jordan Shafran's work include Protein Degradation and Inhibitors (8 papers), Prostate Cancer Treatment and Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Jordan Shafran is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Prostate Cancer Treatment and Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Jordan Shafran collaborates with scholars based in United States, Hungary and India. Jordan Shafran's co-authors include Gerald V. Denis, Guillaume P. Andrieu, Naser Jafari, Balázs Győrffy, Tova Meshulam, Yuhan Qiu, Carla Mazzeo, Stephen R. Farmer, Anna C. Belkina and Nabil Rabhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Clinical Cancer Research.

In The Last Decade

Jordan Shafran

9 papers receiving 262 citations

Peers

Jordan Shafran

MB

CR

ONCOL

IMMUN

PRM

Katja Helenius Finland

Kenneth Finne Norway

Xiaoxin Hao China

L. T. Busund Norway

Ahlima Roumane United Kingdom

Yunbin Ye China

Kunli Du China

Minfang Song China

Santiago García‐Martín Spain

Katja Helenius Finland

Jordan Shafran

276 ×1.4

MB

89 ×1.2

CR

119 ×1.8

ONCOL

28 ×0.6

IMMUN

48 ×1.0

PRM

Citations per year, relative to Jordan Shafran Jordan Shafran (= 1×) peers Katja Helenius

Countries citing papers authored by Jordan Shafran

Since Specialization

Citations

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

Fields of papers citing papers by Jordan Shafran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Shafran

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

All Works

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10 of 10 papers shown

1.

Chaudagar, Kiranj, Shenglin Mei, Taghreed Hirz, et al.. (2023). 1537 Androgen blockade primes NLRP3 inflammasome in macrophages to induce tumor cell phagocytosis. SHILAP Revista de lepidopterología. A1760–A1762. 1 indexed citations

2.

Chaudagar, Kiranj, Brian Labadie, Jordan Shafran, et al.. (2023). Suppression of Tumor Cell Lactate-generating Signaling Pathways Eradicates Murine PTEN/p53-deficient Aggressive-variant Prostate Cancer via Macrophage Phagocytosis. Clinical Cancer Research. 29(23). 4930–4940. 43 indexed citations

3.

Shafran, Jordan, Mark H. Katz, Gretchen A. Gignac, et al.. (2022). Novel forms of prostate cancer chemoresistance to successful androgen deprivation therapy demand new approaches: Rationale for targeting BET proteins. The Prostate. 82(10). 1005–1015. 10 indexed citations

4.

Jafari, Naser, Tova Meshulam, Jordan Shafran, et al.. (2021). Adipocyte-derived exosomes may promote breast cancer progression in type 2 diabetes. Science Signaling. 14(710). eabj2807–eabj2807. 69 indexed citations

5.

Shafran, Jordan, et al.. (2020). BRD4 regulates key transcription factors that drive epithelial–mesenchymal transition in castration-resistant prostate cancer. Prostate Cancer and Prostatic Diseases. 24(1). 268–277. 32 indexed citations

6.

Shafran, Jordan, Guillaume P. Andrieu, Balázs Győrffy, & Gerald V. Denis. (2019). BRD4 Regulates Metastatic Potential of Castration-Resistant Prostate Cancer through AHNAK. Molecular Cancer Research. 17(8). 1627–1638. 33 indexed citations

7.

Andrieu, Guillaume P., et al.. (2019). BET protein targeting suppresses the PD-1/PD-L1 pathway in triple-negative breast cancer and elicits anti-tumor immune response. Cancer Letters. 465. 45–58. 44 indexed citations

8.

Andrieu, Guillaume P., et al.. (2018). BET proteins in abnormal metabolism, inflammation, and the breast cancer microenvironment. Journal of Leukocyte Biology. 104(2). 265–274. 31 indexed citations

9.

Andrieu, Guillaume P., Jordan Shafran, & Gerald V. Denis. (2018). BET Bromodomain Targeting Suppresses the PD-1/PD-L1 Pathway in Triple-negative Breast Cancer and Elicits Anti-tumor Immune Response. SSRN Electronic Journal. 1 indexed citations

10.

Shafran, Jordan, Guillaume Andrieu, & Gerald V. Denis. (2017). IL-22 Increases Metastatic Properties in Androgen-Independent Prostate Cancer. The Journal of Immunology. 198(Supplement_1). 143.7–143.7.

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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