Shankar Srinivasan

2.4k total citations · 1 hit paper
133 papers, 1.7k citations indexed

About

Shankar Srinivasan is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Shankar Srinivasan has authored 133 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Hematology, 36 papers in Oncology and 30 papers in Molecular Biology. Recurrent topics in Shankar Srinivasan's work include Multiple Myeloma Research and Treatments (41 papers), Cancer Treatment and Pharmacology (22 papers) and Prostate Cancer Treatment and Research (20 papers). Shankar Srinivasan is often cited by papers focused on Multiple Myeloma Research and Treatments (41 papers), Cancer Treatment and Pharmacology (22 papers) and Prostate Cancer Treatment and Research (20 papers). Shankar Srinivasan collaborates with scholars based in United States, India and Switzerland. Shankar Srinivasan's co-authors include Nathan Vastesaeger, Helena Raffayová, B. Vishnu Bhat, Rafat Abonour, Robert M. Rifkin, James W. Hardin, Mohit Narang, Kathleen Toomey, L Kabilan and Amani Kitali and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shankar Srinivasan

119 papers receiving 1.6k citations

Hit Papers

Darolutamide Plus Androgen-Deprivation Therapy and Doceta... 2023 2026 2024 2025 2023 25 50 75
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.

  1. Darolutamide Plus Androgen-Deprivation Therapy and Docetaxel in Metastatic Hormone-Sensitive Prostate Cancer by Disease Volume and Risk Subgroups in the Phase III ARASENS Trial
    2023 99 citations Bertrand Tombal, Karim Fizazi et al. profile →

Peers

Shankar Srinivasan
Ashley J. Duits Netherlands
Ann M. Gronowski United States
Tulika Seth India
Mohamed A. Yassin Qatar
Amita Trehan India
Tsila Zuckerman Israel
Reena Das India
Subhash Varma India
Reto A. Schuepbach Switzerland
Jens Goebel United States
Ashley J. Duits Netherlands
Shankar Srinivasan
Citations per year, relative to Shankar Srinivasan Shankar Srinivasan (= 1×) peers Ashley J. Duits

Countries citing papers authored by Shankar Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Shankar Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankar Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Shankar Srinivasan. A scholar is included among the top collaborators of Shankar Srinivasan 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 Shankar Srinivasan. Shankar Srinivasan 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.
Srinivasan, Shankar, et al.. (2025). Reach, effectiveness, adoption, implementation and maintenance of a school eye health program in Petauke district, Zambia. Research Portal (Queen's University Belfast). 2(1). 100106–100106. 1 indexed citations
2.
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Carles, Joan, R.A. Medina López, Javier Puente, et al.. (2023). Darolutamide in Spanish patients with nonmetastatic castration-resistant prostate cancer: ARAMIS subgroup analysis. Future Oncology. 19(12). 819–828. 1 indexed citations
4.
Sikkandar, Mohamed Yacin, et al.. (2023). Leveraging Multimodal Ensemble Fusion-Based Deep Learning for COVID-19 on Chest Radiographs. Computer Systems Science and Engineering. 47(1). 873–889. 2 indexed citations
5.
Fizazi, Karim, Neal D. Shore, Matthew R. Smith, et al.. (2023). Efficacy and safety outcomes of darolutamide in patients with non-metastatic castration-resistant prostate cancer with comorbidities and concomitant medications from the randomised phase 3 ARAMIS trial. European Journal of Cancer. 192. 113258–113258. 7 indexed citations
6.
Fizazi, Karim, Matthew Ryan Smith, Muhammad Hussain, et al.. (2022). 1360MO Quality of life and patient-relevant endpoints with darolutamide in the phase III ARASENS study. Annals of Oncology. 33. S1162–S1162. 4 indexed citations
7.
Gasparetto, Cristina, Sundar Jagannath, Robert M. Rifkin, et al.. (2021). Effect of t (11;14) Abnormality on Outcomes of Patients With Newly Diagnosed Multiple Myeloma in the Connect MM Registry. Clinical Lymphoma Myeloma & Leukemia. 22(3). 149–157. 10 indexed citations
8.
Potter, Adam W., A. Hunt, Bruce S. Cadarette, et al.. (2019). Heat Strain Decision Aid (HSDA) accurately predicts individual-based core body temperature rise while wearing chemical protective clothing. Computers in Biology and Medicine. 107. 131–136. 23 indexed citations
9.
Jagannath, Sundar, Rafat Abonour, Brian G.M. Durie, et al.. (2018). Impact of post-ASCT maintenance therapy on outcomes in patients with newly diagnosed multiple myeloma in Connect MM. Blood Advances. 2(13). 1608–1615. 29 indexed citations
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11.
Rosenberg, Aaron S., Thierry Façon, Safiya Abouzaid, et al.. (2017). Morbid Progression Is Common Among Patients with Multiple Myeloma and Is Associated with Shortened Overall Survival: Validation of the Progression-Free Survival Endpoint. Blood. 130. 3113–3113. 1 indexed citations
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Shah, Jatin J., Rafat Abonour, Christina Gasparetto, et al.. (2017). Analysis of Common Eligibility Criteria of Randomized Controlled Trials in Newly Diagnosed Multiple Myeloma Patients and Extrapolating Outcomes. Clinical Lymphoma Myeloma & Leukemia. 17(9). 575–583.e2. 62 indexed citations
14.
Sieper, Joachim, Shankar Srinivasan, Omid Zamani, et al.. (2012). Comparison of two referral strategies for diagnosis of axial spondyloarthritis: the Recognising and Diagnosing Ankylosing Spondylitis Reliably (RADAR) study. Annals of the Rheumatic Diseases. 72(10). 1621–1627. 94 indexed citations
15.
Potula, Raghava, et al.. (2006). Shell Vial culture Assay for the rapid diagnosis of Japanese encephalitis, West Nile and Dengue-2 viral encephalitis. Virology Journal. 3(1). 2–2. 14 indexed citations
16.
Kabilan, L, S. Ramesh, Shankar Srinivasan, et al.. (2004). Japanese encephalitis virus (JEV) is an important cause of encephalitis among children in Cuddalore district, Tamil Nadu, India. Journal of Clinical Virology. 31(2). 153–159. 31 indexed citations
17.
Jensen, D. R. & Shankar Srinivasan. (2003). Matrix equivalence classes with applications. Linear Algebra and its Applications. 388. 249–260. 2 indexed citations
18.
Kumar, Alok, Shankar Srinivasan, & Avdhesh Kr. Sharma. (1998). Pyogenic liver abscess in children—South Indian experiences. Journal of Pediatric Surgery. 33(3). 417–421. 50 indexed citations
19.
Srinivasan, Shankar, et al.. (1993). Short Course Chemotherapy for Tuberculosis in Children. Journal of Tropical Pediatrics. 39(6). 361–364. 8 indexed citations
20.
Bhat, B. Vishnu, et al.. (1992). Perinatal risk factors in neonatal infections. The Indian Journal of Pediatrics. 59(3). 335–340. 25 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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