Sanjeev Giri
About
Sanjeev Giri is a scholar working on Molecular Biology, Oncology and Pharmacology.
According to data from OpenAlex, Sanjeev Giri has authored 35 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Pharmacology. Recurrent topics in Sanjeev Giri's work include Pesticide Residue Analysis and Safety (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Analytical Chemistry and Chromatography (4 papers). Sanjeev Giri is often cited by papers focused on Pesticide Residue Analysis and Safety (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Analytical Chemistry and Chromatography (4 papers). Sanjeev Giri collaborates with scholars based in India, United States and Australia. Sanjeev Giri's co-authors include Ramesh Mullangi, Sriram Rajagopal, Kuldeep Sharma, Saranjit Singh, Dilip Kumar Singh, David Paul, N. Satheeshkumar, Archana Sahu, Gopal Pawar and Kamal Dua and has published in prestigious journals such as Cancer Research, Journal of the American Academy of Dermatology and European Journal of Cancer.
In The Last Decade
Sanjeev Giri
34 papers receiving 278 citations
Peers
Sanjeev Giri
Likun Ding China
Xiangjun Qiu China
Junfeng Zhu China
Wenjie Zheng China
Robert T. Streeper United States
Fen Wei China
Ammar Tahir Austria
Qiao Wang China
Berthold Lausecker Switzerland
Youli Lu China
Citations per year, relative to Sanjeev Giri Sanjeev Giri (= 1×)
peers
Likun Ding
Countries citing papers authored by Sanjeev Giri
Since
Specialization
Citations
This map shows the geographic impact of Sanjeev Giri'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 Sanjeev Giri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Giri more than expected).
Fields of papers citing papers by Sanjeev Giri
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Sanjeev Giri. 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 Sanjeev Giri. The network helps show where Sanjeev Giri may publish in the future.
Co-authorship network of co-authors of Sanjeev Giri
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Giri. A scholar is included among the top collaborators of Sanjeev Giri 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 Sanjeev Giri. Sanjeev Giri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Chavan, Rahul B., Sekhar C. Ray, Patit Paban Kundu, et al.. (2025). Preparation, characterization, and evaluation of the co-amorphous systems of dasatinib to improve its pharmaceutical attributes. CrystEngComm. 27(18). 2848–2857.
2.
Jain, Minish, Ankit Patel, Sanjeev Giri, et al.. (2023). P740: PK, PD AND SAFETY OF FIRST-IN-HUMAN, FIRST-IN-CLASS PHASE I TRIAL (AUR103-101; BHARAT) OF AUR103, AN ORAL CD47 INHIBITOR, IN PATIENTS WITH ADVANCED MALIGNANCIES. HemaSphere. 7(S3). e183727f–e183727f.
3.
Madan, Jyotsana, et al.. (2022). PROTACs: Current Trends in Protein Degradation by Proteolysis-Targeting Chimeras. BioDrugs. 36(5). 609–623.
4.
Nankar, Rakesh P., et al.. (2022). Exploration of the Plausible Mechanism of Ethambutol Induced Ocular Toxicity by Using Proteomics Informed Physiologically Based Pharmacokinetic (PBPK) Modeling. Pharmaceutical Research. 39(4). 677–689.
5.
Singh, Dilip Kumar, Archana Sahu, Aabid A. Wani, et al.. (2020). Characterization of Photodegradation Products of Bepotastine Besilate and In Silico Evaluation of Their Physicochemical, Absorption, Distribution, Metabolism, Excretion and Toxicity Properties. Journal of Pharmaceutical Sciences. 109(6). 1883–1895.
6.
Singh, Dilip Kumar, et al.. (2020). Insights into the degradation chemistry of tazarotene, a third generation acetylenic retinoid: LC-HRMS (Orbitrap), LC-MSn and NMR characterization of its degradation products, and prediction of their physicochemical and ADMET properties. Journal of Pharmaceutical and Biomedical Analysis. 186. 113316–113316.
7.
Singh, Dilip Kumar, Archana Sahu, Aabid A. Wani, et al.. (2019). Stability behaviour of antiretroviral drugs and their combinations. 10: LC-HRMS, LC-MSn, LC-NMR and NMR characterization of fosamprenavir degradation products and in silico determination of their ADMET properties. European Journal of Pharmaceutics and Biopharmaceutics. 142. 165–178.
8.
Singh, Dilip Kumar, et al.. (2019). Characterization of stable and reactive metabolites of piperine formed on incubation with human liver microsomes. Journal of Mass Spectrometry. 54(9). 738–749.
9.
Paul, David, et al.. (2018). Novel Bruton tyrosine kinase inhibitor acalabrutinib quantification by validated LC-MS/MS method: An application to pharmacokinetic study in Sprague Dawley rats. Journal of Pharmaceutical and Biomedical Analysis. 164. 509–513.
10.
Paul, David, et al.. (2018). A LC-MS/MS method for simultaneous estimation of a novel anti-diabetic combination of saxagliptin and dapagliflozin using a polarity switch approach: application to in vivo rat pharmacokinetic study. Analytical Methods. 11(2). 219–226.
11.
Mukherjee, Subhendu, Thomas Antony, Sanjeev Giri, et al.. (2018). Abstract B165: Potent selective and orally bioavailable inhibition of CDK12 by novel covalent inhibitors. Molecular Cancer Therapeutics. 17(1_Supplement). B165–B165.
12.
Lazorchak, Adam S., Pottayil G. Sasikumar, Raghuveer Ramachandra, et al.. (2017). Abstract A36: CA-170, an oral small molecule PD-L1 and VISTA immune checkpoint antagonist, promotes T cell immune activation and inhibits tumor growth in pre-clinical models of cancer. Cancer Immunology Research. 5(3_Supplement). A36–A36.
13.
Paul, David, et al.. (2017). A validated LC–MS/MS method for the estimation of glimepiride and pitavastatin in rat plasma: Application to drug interaction studies. Journal of Chromatography B. 1046. 218–225.
14.
Dhanalakshmi, Sivanandhan, et al.. (2014). Abstract LB-232: Potent, novel small molecule inhibitors targeting EGFR L858R/T790M mutation for non-small cell lung cancer. Cancer Research. 74(19_Supplement). LB–232.
15.
Giri, Sanjeev & Supriya G. Prasanth. (2012). Replicating and transcribing on twisted roads of chromatin. Briefings in Functional Genomics. 11(3). 188–204.
16.
Giri, Sanjeev, et al.. (2012). Development and validation of a highly sensitive LC‐MS/MS‐ESI method for the determination of nobiletin in rat plasma: application to a pharmacokinetic study. Biomedical Chromatography. 26(12). 1464–1471.
17.
Giri, Sanjeev, et al.. (2011). A strategy for extending the applicability of a validated plasma calibration curve to quantitative measurements in multiple tissue homogenate samples: a case study from a rat tissue distribution study of JI‐101, a triple kinase inhibitor. Biomedical Chromatography. 26(4). 419–424.
18.
Sharma, Kuldeep, et al.. (2011). Highly sensitive LC‐MS/MS‐ESI method for simultaneous quantitation of albendazole and ricobendazole in rat plasma and its application to a rat pharmacokinetic study. Biomedical Chromatography. 26(2). 247–255.
19.
Giri, Sanjeev, et al.. (2010). Highly sensitive method for the determination of a novel triple kinase inhibitor with anti‐cancer activity, JI‐101, in rat plasma by liquid chromatography–electrospray ionization tandem mass spectrometry: application to a pharmacokinetic study. Biomedical Chromatography. 25(7). 794–800.
20.
Sulochana, Suresh P., et al.. (2010). A highly sensitive LC‐MS/MS method for the determination of S‐citalopram in rat plasma: application to a pharmacokinetic study in rats. Biomedical Chromatography. 24(10). 1052–1058.
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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