Moh’d Khushman

2.3k total citations · 1 hit paper
84 papers, 1.4k citations indexed

About

Moh’d Khushman is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Moh’d Khushman has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Oncology, 27 papers in Molecular Biology and 21 papers in Cancer Research. Recurrent topics in Moh’d Khushman's work include Pancreatic and Hepatic Oncology Research (18 papers), Colorectal Cancer Treatments and Studies (16 papers) and Cancer Genomics and Diagnostics (12 papers). Moh’d Khushman is often cited by papers focused on Pancreatic and Hepatic Oncology Research (18 papers), Colorectal Cancer Treatments and Studies (16 papers) and Cancer Genomics and Diagnostics (12 papers). Moh’d Khushman collaborates with scholars based in United States, Austria and Japan. Moh’d Khushman's co-authors include Ajay P. Singh, Seema Singh, Mohammad Aslam Khan, Girijesh Kumar Patel, Sanjeev K. Srivastava, Haseeb Zubair, Arun Bhardwaj, Mary C. Patton, William R. Taylor and Javier A. Laurini and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Moh’d Khushman

74 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparative analysis of exosome isolation methods using culture supernatant for optimum yield, purity and downstream applications

2019 486 citations Girijesh Kumar Patel, Mohammad Aslam Khan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moh’d Khushman United States	18	979	613	356	156	154	84	1.4k
Huihua Xiong China	20	855 0.9×	458 0.7×	408 1.1×	248 1.6×	89 0.6×	65	1.4k
Jianting Long China	20	784 0.8×	512 0.8×	290 0.8×	125 0.8×	81 0.5×	51	1.2k
Haijiang Wang China	15	1.1k 1.1×	924 1.5×	221 0.6×	144 0.9×	107 0.7×	51	1.5k
Emmanuel Blot France	19	543 0.6×	368 0.6×	639 1.8×	207 1.3×	154 1.0×	50	1.4k
Ledu Zhou China	18	683 0.7×	400 0.7×	366 1.0×	221 1.4×	161 1.0×	39	1.3k
Liangfang Shen China	24	946 1.0×	598 1.0×	390 1.1×	202 1.3×	131 0.9×	77	1.5k
Tomer Cooks Israel	18	965 1.0×	517 0.8×	621 1.7×	266 1.7×	470 3.1×	36	1.8k
Geny Piro Italy	25	808 0.8×	341 0.6×	684 1.9×	260 1.7×	260 1.7×	59	1.6k
Renquan Lu China	21	625 0.6×	343 0.6×	405 1.1×	196 1.3×	121 0.8×	62	1.2k
Beiyuan Hu China	13	883 0.9×	613 1.0×	330 0.9×	159 1.0×	178 1.2×	20	1.3k

Countries citing papers authored by Moh’d Khushman

Since Specialization

Citations

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

Fields of papers citing papers by Moh’d Khushman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moh’d Khushman. 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 Moh’d Khushman. The network helps show where Moh’d Khushman may publish in the future.

Co-authorship network of co-authors of Moh’d Khushman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Itani, Malak, Xiuli Liu, Lulu Sun, et al.. (2025). Tailored Approaches in the Treatment of Patients With Colorectal Cancer Harboring Tropomyosin Receptor Kinase Fusion and Microsatellite Instability-High: A Case Report and Literature Review. JCO Precision Oncology. 9(9). e2400305–e2400305.

Groisberg, Roman, Andrew Elliott, Don S. Dizon, et al.. (2025). Large-Scale Multiomic Analysis Identifies Anatomic Differences and Immunogenic Potential in Subtypes of Leiomyosarcoma. Clinical Cancer Research. 31(11). 2210–2221.

Coté, Gregory M., Michael Cecchini, Moh’d Khushman, et al.. (2025). 2688MO A phase I/II trial of FOG-001, a first-in-class direct β-catenin:TCF4 inhibitor - Safety and preliminary antitumor activity in patients with desmoid tumors. Annals of Oncology. 36. S1339–S1340.

Şahin, İbrahim Halil, Joanne Xiu, Moh’d Khushman, et al.. (2025). Investigating the clinical and molecular characteristics of class II and III BRAF mutations and their response to anti-EGFR therapy in MSS CRC: A comprehensive analysis.. Journal of Clinical Oncology. 43(4_suppl). 274–274. 1 indexed citations

Jayakrishnan, Thejus, Yasmine Baca, Joanne Xiu, et al.. (2024). Molecular Differences With Therapeutic Implications in Early-Onset Compared With Average-Onset Biliary Tract Cancers. JCO Precision Oncology. 8(8). e2400138–e2400138. 3 indexed citations

Bajpai, Prachi, Farrukh Afaq, Sameer Al Diffalha, et al.. (2024). Abstract 585: Regorafenib antitumor immune response is enhanced by a novel drug combination in CRC syngeneic model. Cancer Research. 84(6_Supplement). 585–585.

Agarwal, Sumit, Farrukh Afaq, Prachi Bajpai, et al.. (2023). BZW2 Inhibition Reduces Colorectal Cancer Growth and Metastasis. Molecular Cancer Research. 21(7). 698–712. 8 indexed citations

Fowler, Mackenzie E., Kelly Kenzik, Mustafa Al‐Obaidi, et al.. (2023). Rural-urban disparities in mortality and geriatric assessment among older adults with cancer: The cancer & aging resilience evaluation (CARE) registry. Journal of Geriatric Oncology. 14(4). 101505–101505. 5 indexed citations

Iyer, Renuka, Nainesh Parikh, Richard D. Kim, et al.. (2023). A phase II study of atezolizumab (ATEZO) and bevacizumab (BEV) in combination with Y90 TARE in patients (pts) with hepatocellular carcinoma (HCC): Y90+/- BEAT.. Journal of Clinical Oncology. 41(4_suppl). TPS629–TPS629. 3 indexed citations

10.

Williams, Grant R., Chen Dai, Smith Giri, et al.. (2022). Geriatric Assessment Predictors of 1-Year Mortality in Older Adults With GI Malignancies: A Survival Tree Analysis. JCO Clinical Cancer Informatics. 6(6). e2200065–e2200065. 10 indexed citations

11.

Williams, Grant R., Mustafa Al‐Obaidi, Chen Dai, et al.. (2022). Racial disparities in frailty and geriatric assessment impairments in older adults with cancer in the Deep South: Results from the CARE Registry. Cancer. 128(12). 2313–2319. 23 indexed citations

12.

Al‐Obaidi, Mustafa, Darryl Outlaw, Moh’d Khushman, et al.. (2022). Pain among older adults with gastrointestinal malignancies- results from the cancer and aging resilience evaluation (CARE) Registry. Supportive Care in Cancer. 30(12). 9793–9801. 2 indexed citations

13.

Freire, Andrea P. Espejo, Andrew Elliott, Andrew E. Rosenberg, et al.. (2021). Genomic Landscape of Angiosarcoma: A Targeted and Immunotherapy Biomarker Analysis. Cancers. 13(19). 4816–4816. 44 indexed citations

14.

Hunter, John, et al.. (2020). Usefulness of Restaging Pelvis Magnetic Resonance Imaging After Neoadjuvant Concurrent Chemoradiotherapy in Patients With Locally Advanced Rectal Cancer. Clinical Colorectal Cancer. 19(4). e281–e287. 2 indexed citations

15.

Khan, Mohammad Aslam, Sanjeev K. Srivastava, Haseeb Zubair, et al.. (2020). Co-targeting of CXCR4 and hedgehog pathways disrupts tumor-stromal crosstalk and improves chemotherapeutic efficacy in pancreatic cancer. Journal of Biological Chemistry. 295(25). 8413–8424. 34 indexed citations

16.

Khushman, Moh’d, et al.. (2020). Epidermal growth factor receptor-activating mutation(E746_T751>VP) in pancreatic ductal adenocarcinoma responds to erlotinib, followed by epidermal growth factor receptor resistance-mediating mutation (A647T): A case report and literature review. Journal of Cancer Research and Therapeutics. 16(4). 950–950. 8 indexed citations

17.

Campos, Yolanda, et al.. (2019). Vitamin B12 deficiency presenting as pseudo-thrombotic microangiopathy: a case report and literature review. SHILAP Revista de lepidopterología. 7 indexed citations

18.

Patel, Girijesh Kumar, William R. Taylor, Seema Singh, Moh’d Khushman, & Ajay P. Singh. (2018). Revisiting the Clinical Importance of DPYD*9A (c.85T>C) Variant of Dihydropyrimidine Dehydrogenase (DPYD) Gene in Patients Treated with Fluoropyrimidine-Based Chemotherapy. Journal of Molecular Biomarkers & Diagnosis. 9(3). 1 indexed citations

19.

Patel, Girijesh Kumar, Mohammad Aslam Khan, Arun Bhardwaj, et al.. (2017). Exosomes confer chemoresistance to pancreatic cancer cells by promoting ROS detoxification and miR-155-mediated suppression of key gemcitabine-metabolising enzyme, DCK. British Journal of Cancer. 116(5). 609–619. 218 indexed citations

20.

Muñoz, Javier, Moh’d Khushman, Amr Hanbali, & Michael Stoltenberg. (2011). Severe lactic acidosis in a patient with metastatic prostate cancer. Journal of Cancer Research and Therapeutics. 7(2). 201–201. 11 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.

Explore authors with similar magnitude of impact