Rajesh K. Grover

2.1k total citations · 1 hit paper
49 papers, 1.5k citations indexed

About

Rajesh K. Grover is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Rajesh K. Grover has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Organic Chemistry and 8 papers in Epidemiology. Recurrent topics in Rajesh K. Grover's work include Biofuel production and bioconversion (4 papers), Trypanosoma species research and implications (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Rajesh K. Grover is often cited by papers focused on Biofuel production and bioconversion (4 papers), Trypanosoma species research and implications (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Rajesh K. Grover collaborates with scholars based in India, United States and United Kingdom. Rajesh K. Grover's co-authors include Raja Roy, Chris L. Coleman, Vinay Krishna, Cristian Ionescu‐Zanetti, Sue A. Carter, R. Khurana, Shashi Singh, Sanjay Gupta, Bijoy Kundu and Satwinder S. Marwaha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Rajesh K. Grover

48 papers receiving 1.4k citations

Hit Papers

Mechanism of thioflavin T... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajesh K. Grover India 17 702 367 167 135 127 49 1.5k
Saeko Tada‐Oikawa Japan 22 982 1.4× 301 0.8× 119 0.7× 135 1.0× 228 1.8× 40 2.1k
Mariano Stornaiuolo Italy 23 762 1.1× 165 0.4× 119 0.7× 140 1.0× 92 0.7× 84 1.5k
Rosanna Palumbo Italy 23 691 1.0× 91 0.2× 183 1.1× 106 0.8× 196 1.5× 67 1.5k
Ubonthip Nimmannit Thailand 21 743 1.1× 172 0.5× 139 0.8× 196 1.5× 162 1.3× 39 1.7k
Cheng‐Hao Jin China 29 1.1k 1.5× 129 0.4× 162 1.0× 128 0.9× 234 1.8× 112 2.3k
Haiyun Li China 27 864 1.2× 194 0.5× 93 0.6× 120 0.9× 112 0.9× 90 2.1k
Aruto Yoshida Japan 24 2.1k 3.0× 270 0.7× 363 2.2× 65 0.5× 105 0.8× 35 3.0k
Huaping Chen China 25 686 1.0× 128 0.3× 181 1.1× 41 0.3× 227 1.8× 80 1.7k
Eleonora Turrini Italy 24 815 1.2× 98 0.3× 191 1.1× 83 0.6× 260 2.0× 62 2.0k
Ankita Bansal United States 11 765 1.1× 208 0.6× 63 0.4× 108 0.8× 149 1.2× 14 1.6k

Countries citing papers authored by Rajesh K. Grover

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh K. Grover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajesh K. Grover. 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 Rajesh K. Grover. The network helps show where Rajesh K. Grover may publish in the future.

Co-authorship network of co-authors of Rajesh K. Grover

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh K. Grover. A scholar is included among the top collaborators of Rajesh K. Grover 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 Rajesh K. Grover. Rajesh K. Grover 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.
Kaur, Navneet, et al.. (2019). Pregabalin in the treatment of postmastectomy chronic pain: Results of an open label, single‐arm clinical study. The Breast Journal. 25(3). 465–468. 6 indexed citations
2.
Grover, Rajesh K., et al.. (2018). Clinical significance of interleukin-6 in diagnosis of lung, oral, esophageal, and gall bladder carcinomas. Journal of Cancer Research and Therapeutics. 14(10). 758–758. 26 indexed citations
5.
Mehrotra, Ravi, Roopa Hariprasad, Preetha Rajaraman, et al.. (2017). Stemming the Wave of Cervical Cancer: Human Papillomavirus Vaccine Introduction in India. Journal of Global Oncology. 4(4). 1–4. 17 indexed citations
6.
Ahmed, Nishat Hussain, et al.. (2017). Staphylococcus hominis subsp. novobiosepticus, an emerging multidrug-resistant bacterium, as a causative agent of septicaemia in cancer patients. The Indian Journal of Medical Research. 146(3). 420–425. 10 indexed citations
7.
8.
Gandhi, Varsha, Kapil Mehta, Rajesh K. Grover, Sen Pathak, & Bharat B. Aggarwal. (2015). Multi-Targeted Approach to Treatment of Cancer. DIAL (Catholic University of Leuven). 11 indexed citations
9.
Lerner, Richard A., Rajesh K. Grover, Hongkai Zhang, et al.. (2015). Antibodies from combinatorial libraries use functional receptor pleiotropism to regulate cell fates. Quarterly Reviews of Biophysics. 48(4). 389–394. 17 indexed citations
10.
Heidebrecht, Tatjana, Evangelos Christodoulou, Michael J. Chalmers, et al.. (2011). The structural basis for recognition of base J containing DNA by a novel DNA binding domain in JBP1. Nucleic Acids Research. 39(13). 5715–5728. 23 indexed citations
11.
Kumar, Vivek, Chandra Shekhar Yadav, Sudip Kumar Datta, et al.. (2011). Association of GSTM1 and GSTT1 Polymorphism with Lipid Peroxidation in Benign Prostate Hyperplasia and Prostate Cancer: A Pilot Study. Disease Markers. 30(4). 163–169. 20 indexed citations
12.
Kumar, Vivek, Chandra Shekhar Yadav, Satyender Singh, et al.. (2010). CYP 1A1 polymorphism and organochlorine pesticides levels in the etiology of prostate cancer. Chemosphere. 81(4). 464–468. 60 indexed citations
13.
Tripathi, Madhavi, Rajnish Sharma, Maria D’Souza, et al.. (2009). Comparative Evaluation of F-18 FDOPA, F-18 FDG, and F-18 FLT-PET/CT for Metabolic Imaging of Low Grade Gliomas. Clinical Nuclear Medicine. 34(12). 878–883. 74 indexed citations
14.
Tripathi, Madhavi, Nikunj Kumar Jain, Abhinav Jaimini, et al.. (2009). Demonstration of Diffuse Leptomeningeal Metastasis in a Treated Case of Medulloblastoma With F-18 FDG PET/CT. Clinical Nuclear Medicine. 34(8). 530–532. 15 indexed citations
15.
Khurana, R., Chris L. Coleman, Cristian Ionescu‐Zanetti, et al.. (2005). Mechanism of thioflavin T binding to amyloid fibrils. Journal of Structural Biology. 151(3). 229–238. 696 indexed citations breakdown →
16.
Grover, Rajesh K., Abhijeet Deb Roy, Raja Roy, et al.. (2005). Complete 1H and 13C NMR assignments of six saponins from Sapindus trifoliatus. Magnetic Resonance in Chemistry. 43(12). 1072–1076. 15 indexed citations
17.
Grover, Rajesh K., Satwinder S. Marwaha, & John F. Kennedy. (2001). Methanogenesis of black liquor in a two‐stage biphasic reactor system using an immobilized cell system. Journal of Chemical Technology & Biotechnology. 76(3). 251–256. 12 indexed citations
18.
Das, Dilip K., et al.. (2001). Neuroblastoma with Concomitant Giardiasis. Acta Cytologica. 45(5). 740–744. 2 indexed citations
19.
Das, Dilip K., et al.. (1999). Oral Leiomyosarcoma in Childhood. Acta Cytologica. 43(6). 1150–1154. 10 indexed citations
20.
Das, Dilip K., et al.. (1997). Fine Needle Aspiration Cytology Diagnosis of a Fungal Lesion of the <i>Verticillium</i> Species. Acta Cytologica. 41(2). 577–582. 7 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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