S. Khosrowjerdi

848 total citations
8 papers, 24 citations indexed

About

S. Khosrowjerdi is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, S. Khosrowjerdi has authored 8 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in S. Khosrowjerdi's work include Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer, Lipids, and Metabolism (2 papers). S. Khosrowjerdi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer, Lipids, and Metabolism (2 papers). S. Khosrowjerdi collaborates with scholars based in United States, Canada and United Kingdom. S. Khosrowjerdi's co-authors include Justin F. Gainor, Sasha Kravets, Matthew W. Rosenbaum, Anika E. Adeni, Mark M. Awad, Subba R. Digumarthy, Matthew D. Hellmann, Vashine Kamesan, Mari Mino–Kenudson and Hira Rizvi and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology and Journal of Emergency Medicine.

In The Last Decade

S. Khosrowjerdi

8 papers receiving 24 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Khosrowjerdi United States 3 19 12 7 4 3 8 24
Laura Leroy France 3 28 1.5× 18 1.5× 5 0.7× 3 0.8× 4 1.3× 8 36
Muhammad Saad Hamid United States 4 15 0.8× 19 1.6× 6 0.9× 3 0.8× 3 1.0× 10 36
Saad Tahir United Kingdom 4 23 1.2× 10 0.8× 3 0.4× 5 1.3× 5 1.7× 4 29
Georgia Dimopoulou Greece 4 26 1.4× 9 0.8× 9 1.3× 2 0.5× 5 1.7× 13 42
Márton Szentkereszty Hungary 3 11 0.6× 12 1.0× 3 0.4× 3 0.8× 4 1.3× 5 25
Li‐Hsin Chien Taiwan 4 21 1.1× 10 0.8× 5 0.7× 5 1.3× 4 1.3× 5 34
Eric Assenat France 3 17 0.9× 6 0.5× 7 1.0× 4 1.0× 1 0.3× 3 25
Abraham Tzou United States 1 13 0.7× 6 0.5× 6 0.9× 10 2.5× 5 1.7× 2 26
Amelia S. Gliwa United States 2 15 0.8× 10 0.8× 4 0.6× 2 0.5× 2 0.7× 2 15
Mireia Sanchis Spain 3 16 0.8× 9 0.8× 2 0.3× 7 1.8× 5 1.7× 5 24

Countries citing papers authored by S. Khosrowjerdi

Since Specialization
Citations

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

Fields of papers citing papers by S. Khosrowjerdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Khosrowjerdi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Khosrowjerdi. A scholar is included among the top collaborators of S. Khosrowjerdi 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 S. Khosrowjerdi. S. Khosrowjerdi 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.
Khosrowjerdi, S., Alexander C. Razavi, Parveen K. Garg, et al.. (2025). Demographics of lipoprotein(a) and stroke: The UK biobank. American Journal of Preventive Cardiology. 23. 101055–101055. 1 indexed citations
2.
Khosrowjerdi, S., Qian Shi, Tyler Zemla, et al.. (2025). Association between empirical dietary inflammatory pattern (EDIP) and survival in patients with stage III colon cancer: Findings from CALGB/SWOG 80702 (Alliance).. Journal of Clinical Oncology. 43(17_suppl). 1 indexed citations
3.
Khosrowjerdi, S., Nora Horick, Jeffrey W. Clark, et al.. (2021). Clinical and mutational profile of ARID1A-mutated gastrointestinal cancers: Duration of response to platinum-based chemotherapy.. Journal of Clinical Oncology. 39(15_suppl). e15611–e15611. 1 indexed citations
4.
Hayes, Bryan D., et al.. (2020). Utility of Hypertonic Saline and Diazepam in COVID-19–Related Hydroxychloroquine Toxicity. Journal of Emergency Medicine. 60(3). 359–364. 1 indexed citations
5.
Ricciuti, Biagio, Kathryn C. Arbour, Natalie I. Vokes, et al.. (2020). Effect of STK11 mutations on efficacy of PD-1 inhibition in non-small cell lung cancer (NSCLC) and dependence on KRAS mutation status.. Journal of Clinical Oncology. 38(15_suppl). e15113–e15113. 6 indexed citations
6.
Aguilar, Elizabeth Jiménez, Biagio Ricciuti, Justin F. Gainor, et al.. (2019). Outcomes to first-line pembrolizumab in patients with non-small cell lung cancer and a PD-L1 tumor proportion score ≥90%.. Journal of Clinical Oncology. 37(15_suppl). 9111–9111. 2 indexed citations
7.
Gainor, Justin F., Sasha Kravets, S. Khosrowjerdi, et al.. (2018). MA04.05 Outcomes in NSCLC Patients Treated with First-Line Pembrolizumab and a PD-L1 TPS of 50-74% vs 75-100% or 50-89% vs 90-100%. Journal of Thoracic Oncology. 13(10). S367–S368. 9 indexed citations
8.
Rosenbaum, Matthew W., S. Khosrowjerdi, Vashine Kamesan, et al.. (2018). P1.04-21 The Utility of PD-L1/CD8 Dual Immunohistochemistry for Prediction of Response to Immunotherapy in Non-Small Cell Lung Cancer (NSCLC). Journal of Thoracic Oncology. 13(10). S533–S533. 3 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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