Sandeep Menon

588 total citations
36 papers, 315 citations indexed

About

Sandeep Menon is a scholar working on Statistics and Probability, Immunology and Management Science and Operations Research. According to data from OpenAlex, Sandeep Menon has authored 36 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 8 papers in Immunology and 7 papers in Management Science and Operations Research. Recurrent topics in Sandeep Menon's work include Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (7 papers) and Computational Drug Discovery Methods (5 papers). Sandeep Menon is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (7 papers) and Computational Drug Discovery Methods (5 papers). Sandeep Menon collaborates with scholars based in United States, India and Switzerland. Sandeep Menon's co-authors include James P. Symons, Tania J. Phillips, Gianluca Nucci, Mark Chang, Revathi Ananthakrishnan, Claudio Carini, Haihong Shi, Rohit Rao, Sylvester Pawlak and Arthur Bergman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of the American Academy of Dermatology.

In The Last Decade

Sandeep Menon

34 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Menon United States 10 98 72 41 39 37 36 315
Marisa Papaluca‐Amati Netherlands 10 87 0.9× 13 0.2× 53 1.3× 22 0.6× 75 2.0× 11 395
Anne‐Gaëlle Dosne Belgium 8 43 0.4× 66 0.9× 83 2.0× 16 0.4× 10 0.3× 19 406
Sandro Gsteiger Switzerland 13 348 3.6× 77 1.1× 44 1.1× 17 0.4× 136 3.7× 26 654
Holly Kimko United States 14 70 0.7× 42 0.6× 95 2.3× 47 1.2× 22 0.6× 38 587
Baldur Magnusson Switzerland 13 91 0.9× 66 0.9× 91 2.2× 169 4.3× 35 0.9× 23 681
Thomas Liu United States 10 45 0.5× 96 1.3× 62 1.5× 62 1.6× 258 7.0× 19 784
Jonathan Monteleone United States 5 95 1.0× 29 0.4× 34 0.8× 22 0.6× 48 1.3× 8 272
Nigel Dallow United Kingdom 11 24 0.2× 26 0.4× 47 1.1× 7 0.2× 10 0.3× 15 511
Gregory Powell United States 7 21 0.2× 23 0.3× 47 1.1× 31 0.8× 39 1.1× 11 329
Fairouz Makhlouf United States 6 188 1.9× 13 0.2× 48 1.2× 34 0.9× 120 3.2× 8 378

Countries citing papers authored by Sandeep Menon

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Menon. A scholar is included among the top collaborators of Sandeep Menon 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 Sandeep Menon. Sandeep Menon 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.
Peeva, Elena, Anindita Banerjee, Christopher Banfield, et al.. (2024). Master protocols and other innovative trial designs in inflammation and immunology to expedite clinical drug development. Drug Discovery Today. 29(5). 103948–103948. 3 indexed citations
2.
3.
Menon, Sandeep, et al.. (2023). Performance of mung bean as influenced by different levels of fertilizers and cropping systems in the semi-arid region of India. Journal of Applied Biology & Biotechnology. 1 indexed citations
4.
Baniecki, Mary Lynn, Zhenyu Wang, Yan Chen, et al.. (2023). 361. Evaluation of Resistance to Nirmatrelvir/ritonavir in Evaluation of Protease Inhibition for COVID-19 (EPIC) High-Risk and Standard-Risk Clinical Trials. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
5.
Ruberg, Stephen J., Sandeep Menon, & Charmaine Demanuele. (2023). Resolving the Credibility Crisis: Recommendations for Improving Predictive Algorithms for Clinical Utility. SHILAP Revista de lepidopterología. 5(4). 3 indexed citations
6.
Menon, Sandeep, et al.. (2022). Single Image Dehazing Using Multi-Scale DCP-BCP Fusion. 1–7. 1 indexed citations
7.
Singh, Ravi Shankar Prasad, Sima S. Toussi, Frances Hackman, et al.. (2022). Innovative Randomized Phase I Study and Dosing Regimen Selection to Accelerate and Inform Pivotal COVID‐19 Trial of Nirmatrelvir. Clinical Pharmacology & Therapeutics. 112(1). 101–111. 90 indexed citations
8.
Menon, Sandeep, et al.. (2021). Achieving end-to-end success in the clinic: Pfizer’s learnings on R&D productivity. Drug Discovery Today. 27(3). 697–704. 32 indexed citations
9.
10.
Loewy, John W., et al.. (2016). Ethical Considerations in Adaptive Design Clinical Trials. Therapeutic Innovation & Regulatory Science. 51(2). 190–199. 12 indexed citations
11.
Damjanov, Nemanja, Małgorzata Tłustochowicz, Jacob Aelion, et al.. (2016). Safety and Efficacy of SBI-087, a Subcutaneous Agent for B Cell Depletion, in Patients with Active Rheumatoid Arthritis: Results from a Phase II Randomized, Double-blind, Placebo-controlled Study. The Journal of Rheumatology. 43(12). 2094–2100. 4 indexed citations
12.
Pritchett, Yili, et al.. (2015). Sample Size Re-estimation Designs In Confirmatory Clinical Trials—Current State, Statistical Considerations, and Practical Guidance. Statistics in Biopharmaceutical Research. 7(4). 309–321. 22 indexed citations
13.
Mitchell, Brendon C., Dominick Leone, Sandeep Menon, et al.. (2014). Protein expression of the chemokine receptor CXCR4 and its ligand CXCL12 in primary cutaneous melanoma—biomarkers of potential utility?. Human Pathology. 45(10). 2094–2100. 8 indexed citations
14.
Ray, Surajit, et al.. (2014). Statistical Monitoring of Clinical Trials With Multiple Co-Primary Endpoints Using Multivariate B-value. Statistics in Biopharmaceutical Research. 6(3). 241–250. 7 indexed citations
15.
Ananthakrishnan, Revathi & Sandeep Menon. (2013). Design of oncology clinical trials: A review. Critical Reviews in Oncology/Hematology. 88(1). 144–153. 14 indexed citations
16.
Antonijevic, Zoran, Paul Gallo, Christy Chuang‐Stein, et al.. (2013). Views on Emerging Issues Pertaining to Data Monitoring Committees for Adaptive Trials. Therapeutic Innovation & Regulatory Science. 47(4). 495–502. 9 indexed citations
17.
Gallo, Paul, John W. Loewy, Sandeep Menon, et al.. (2013). A Practical Guide to Data Monitoring Committees in Adaptive Trials. Therapeutic Innovation & Regulatory Science. 48(3). 316–326. 9 indexed citations
18.
Pradhan, Vivek, Sandeep Menon, & Ujjwal Das. (2013). Corrected profile likelihood confidence interval for binomial paired incomplete data. Pharmaceutical Statistics. 12(1). 48–58. 1 indexed citations
19.
Ananthakrishnan, Revathi & Sandeep Menon. (2011). Integration of cell biology, pharmacological modeling and statistical analysis. Critical Reviews in Oncology/Hematology. 83(2). 153–169. 1 indexed citations
20.
Phillips, Tania J., James P. Symons, & Sandeep Menon. (2008). Does hormone therapy improve age-related skin changes in postmenopausal women?. Journal of the American Academy of Dermatology. 59(3). 397–404.e3. 38 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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