Rajeev Nema

502 total citations
50 papers, 337 citations indexed

About

Rajeev Nema is a scholar working on Molecular Biology, Cancer Research and Complementary and alternative medicine. According to data from OpenAlex, Rajeev Nema has authored 50 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Complementary and alternative medicine. Recurrent topics in Rajeev Nema's work include Cancer-related molecular mechanisms research (11 papers), Phytochemicals and Medicinal Plants (7 papers) and Natural Antidiabetic Agents Studies (6 papers). Rajeev Nema is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Phytochemicals and Medicinal Plants (7 papers) and Natural Antidiabetic Agents Studies (6 papers). Rajeev Nema collaborates with scholars based in India and United States. Rajeev Nema's co-authors include Ashok Kumar, Dharmendra Singh, Savita Nema, Poonam C. Singh, Ganga Agnihotri, Rajeshwara N. Achur, Maheep Bhatnagar, Ashutosh Shrivastava, Rahul Agarwal and Ekta Sharma and has published in prestigious journals such as Molecular Cancer, Biomedicine & Pharmacotherapy and Computers in Biology and Medicine.

In The Last Decade

Rajeev Nema

36 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajeev Nema India 11 116 71 43 34 33 50 337
Sang Yo Byun South Korea 13 306 2.6× 103 1.5× 38 0.9× 42 1.2× 5 0.2× 34 506
Muhammad Maqsood Alam Pakistan 7 97 0.8× 86 1.2× 33 0.8× 43 1.3× 19 0.6× 9 322
P. Senthilraja India 10 162 1.4× 61 0.9× 61 1.4× 39 1.1× 13 0.4× 23 457
Kanupriya Verma India 9 123 1.1× 70 1.0× 18 0.4× 16 0.5× 6 0.2× 33 334
Sebastian Ionut Toma Romania 8 141 1.2× 83 1.2× 28 0.7× 25 0.7× 9 0.3× 16 326
Lichun Guo China 10 142 1.2× 34 0.5× 8 0.2× 51 1.5× 13 0.4× 25 308
Navneet Kumar Yadav India 10 87 0.8× 74 1.0× 50 1.2× 25 0.7× 21 0.6× 18 259
Nileeka Balasuriya Canada 10 267 2.3× 52 0.7× 20 0.5× 41 1.2× 95 2.9× 14 499
Muhammad Naeem Faisal Pakistan 12 91 0.8× 69 1.0× 44 1.0× 31 0.9× 4 0.1× 58 330
Pakorn Winayanuwattikun Thailand 11 289 2.5× 53 0.7× 10 0.2× 38 1.1× 11 0.3× 13 443

Countries citing papers authored by Rajeev Nema

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Nema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Nema

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Nema. A scholar is included among the top collaborators of Rajeev Nema 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 Rajeev Nema. Rajeev Nema 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.
Kumar, Ashok, et al.. (2025). Chromosomal passenger complex-cyclin/CDK axis correlated with poor lung cancer prognosis. Journal of Biomedical Research. 39(5). 530–530.
2.
Saini, Camille, et al.. (2025). Involvement of lncRNA in cancer diagnosis and prognosis and clinical implications. Reports of Practical Oncology & Radiotherapy. 30(3). 439–450.
3.
Singh, Aditi, et al.. (2025). TMPO-AS1-hsa-let-7b-5p-EZH2-RNA network predicts poor survival in basal-like breast cancer patients. Reports of Practical Oncology & Radiotherapy. 30(2). 185–201.
4.
Nema, Rajeev, et al.. (2025). In smokers, the axis NCAPG/hsa-let-7b-5p/TMPO-AS1 promotes lung adenocarcinoma. Reports of Practical Oncology & Radiotherapy. 30(1). 44–53.
5.
Nema, Rajeev, et al.. (2024). Competing Endogenous TMPO-AS1-let-7c-5p- LDHA RNA Network Predicts the Prognosis of Lung Adenocarcinoma Patients. Asian Pacific Journal of Cancer Prevention. 25(10). 3673–3689. 2 indexed citations
6.
Singh, Jay, et al.. (2024). LncRNA TMPO-AS1 Promotes Triple-Negative Breast Cancer by Sponging miR-383-5p to Trigger the LDHA Axis. Asian Pacific Journal of Cancer Prevention. 25(8). 2929–2944. 2 indexed citations
7.
Nema, Rajeev, et al.. (2024). Decreased Expression of CD247 and CD4 Immune Marker Predicts Poor Prognosis in Triple Negative Breast Cancer. Asian Pacific Journal of Cancer Prevention. 25(9). 3187–3197.
8.
Nema, Rajeev, Ajay Kumar Singh, Priti Patel, et al.. (2023). Single Nucleotide Polymorphisms in Cytokine Genes are Associated with the Susceptibility to Oral Squamous Cell Carcinoma. Asian Pacific Journal of Cancer Prevention. 24(7). 2353–2360. 1 indexed citations
9.
Kumar, Ashok, et al.. (2021). Do patients with oral squamous cell carcinoma express receptor tyrosine kinase-like orphan receptor 1? Results of an observational study. Journal of Oral and Maxillofacial Pathology. 25(1). 105–109. 1 indexed citations
10.
Nema, Rajeev & Ashok Kumar. (2021). Sphingosine-1-Phosphate Catabolizing Enzymes Predict Better Prognosis in Triple-Negative Breast Cancer Patients and Correlates With Tumor-Infiltrating Immune Cells. Frontiers in Molecular Biosciences. 8. 697922–697922. 14 indexed citations
11.
Nema, Rajeev, et al.. (2015). Flavonoid and cancer prevention – Mini review. 2(2). 3 indexed citations
12.
Nema, Rajeev, et al.. (2013). Simplified Velocity MPSO for Directional Over Current Relay Coordination. 3 indexed citations
13.
Nema, Rajeev, Savita Nema, & Ganga Agnihotri. (2013). Computer Simulation Based Study of Photovoltaic Cells/Modules and their Experimental Verification. 33 indexed citations
14.
Tyagi, Lalit Kumar, et al.. (2011). FORMULATION AND CHARACTERIZATION OF FAST DISINTEGRATING TABLET OF ACECLOFENAC BY USING SUBLIMATION METHOD. International Journal of Pharmaceutical Sciences and Drug Research. 19–22. 8 indexed citations
15.
Bhandari, Anil, et al.. (2010). Synthesis and in vitro bioevaluation of 1,5-bis(5-substituted benzimidazole) alkanes as antileishmanial agents.. Journal of chemical and pharmaceutical research. 2(3). 244–250. 1 indexed citations
16.
Nema, Rajeev & K. G. Ramawat. (2010). Isolation and identification of a new molecule from Curculigo orchioides (Hypoxidaceae).. Journal of chemical and pharmaceutical research. 2(2). 610–617. 5 indexed citations
17.
Bhandari, Anil, et al.. (2010). QSAR studies of 1,5-di(4-amidinophenoxy)pentane and its analogues for their anti-leishmanial activity.. Journal of chemical and pharmaceutical research. 2(2). 387–391. 1 indexed citations
18.
Pattnaik, Ashok, et al.. (2009). Antifungal and antibacterial activity of Carissa carandas Linn.. International Journal of Plant Sciences Muzaffarnagar. 4(2). 564–568. 5 indexed citations
19.
Nema, Rajeev, et al.. (2009). Investigation of immunomodulatory potential of hydro-alcoholic extracts of Euphorbia neriifolia Linn. and Hibiscus rosa sinensis Linn.. Journal of the Medical Sciences (Berkala Ilmu Kedokteran). 2(1). 61–65. 5 indexed citations
20.
Nema, Rajeev, et al.. (2008). Anti-inflammatory and analgesic activity of Balanites aegyptiaca in experimental animal models. International Journal of Green Pharmacy. 2(4). 214. 22 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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