Niharika Nath

2.3k total citations · 1 hit paper
39 papers, 1.9k citations indexed

About

Niharika Nath is a scholar working on Molecular Biology, Pharmacology and Artificial Intelligence. According to data from OpenAlex, Niharika Nath has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Artificial Intelligence. Recurrent topics in Niharika Nath's work include Inflammatory mediators and NSAID effects (8 papers), AI in cancer detection (7 papers) and Cancer-related Molecular Pathways (6 papers). Niharika Nath is often cited by papers focused on Inflammatory mediators and NSAID effects (8 papers), AI in cancer detection (7 papers) and Cancer-related Molecular Pathways (6 papers). Niharika Nath collaborates with scholars based in United States, India and Canada. Niharika Nath's co-authors include Khosrow Kashfi, Federica Vannini, Srikumar Chellappan, Sheng Wang, Mitali Chattopadhyay, Ravinder Kodela, Matthew Adlam, Basil Rigas, Chuntao Dan and Daniel Boring and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and The Journal of Immunology.

In The Last Decade

Niharika Nath

36 papers receiving 1.8k citations

Hit Papers

The dual role of iNOS in cancer 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niharika Nath United States 19 986 345 332 331 240 39 1.9k
Hong Xin China 25 829 0.8× 287 0.8× 212 0.6× 204 0.6× 205 0.9× 54 1.6k
Kap‐Seok Yang South Korea 11 1.8k 1.8× 253 0.7× 377 1.1× 172 0.5× 219 0.9× 20 2.3k
Renata Colavitti Italy 17 1.3k 1.4× 160 0.5× 431 1.3× 206 0.6× 324 1.4× 21 2.3k
Wei Yan China 26 1.5k 1.6× 488 1.4× 369 1.1× 702 2.1× 518 2.2× 85 3.1k
Simona Coppola Italy 23 1.7k 1.8× 257 0.7× 411 1.2× 390 1.2× 205 0.9× 38 2.7k
Jeff L. Ellsworth United States 22 937 1.0× 169 0.5× 222 0.7× 166 0.5× 222 0.9× 42 2.1k
Navin Viswakarma United States 25 1.4k 1.4× 173 0.5× 184 0.6× 304 0.9× 310 1.3× 67 2.1k
Carola A. Neumann United States 24 2.0k 2.0× 170 0.5× 284 0.9× 366 1.1× 338 1.4× 40 2.8k
Tomomi Furihata Japan 28 748 0.8× 211 0.6× 108 0.3× 485 1.5× 124 0.5× 98 1.9k
Serge Hardy Canada 27 1.9k 2.0× 182 0.5× 392 1.2× 244 0.7× 387 1.6× 53 2.8k

Countries citing papers authored by Niharika Nath

Since Specialization
Citations

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

Fields of papers citing papers by Niharika Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niharika Nath

This figure shows the co-authorship network connecting the top 25 collaborators of Niharika Nath. A scholar is included among the top collaborators of Niharika Nath 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 Niharika Nath. Niharika Nath 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.
Roy, Sourav Dey, et al.. (2025). Classification of Multiclass Pap Smear Image and Asymmetric Characterization for Prediction of Severity of Cervical Abnormality. International Journal of Biomedical Imaging. 2025(1).
2.
Chattopadhyay, Mitali, et al.. (2024). NOSH-aspirin (NBS-1120) inhibits estrogen receptor–negative breast cancer in vitro and in vivo by modulating redox-sensitive signaling pathways. Journal of Pharmacology and Experimental Therapeutics. 392(1). 100019–100019. 2 indexed citations
4.
Das, Puja, et al.. (2023). Estimation of Abnormal Cell Growth and MCG‐Based Discriminative Feature Analysis of Histopathological Breast Images. International Journal of Intelligent Systems. 2023(1). 1 indexed citations
5.
Nath, Niharika & Khosrow Kashfi. (2020). Tumor associated macrophages and ‘NO’. Biochemical Pharmacology. 176. 113899–113899. 48 indexed citations
6.
Bhowmik, Mrinal Kanti, et al.. (2017). Shape Feature Based Automatic Abnormality. Journal of Image and Graphics. 5(2). 52–58. 4 indexed citations
7.
Kashfi, Khosrow, et al.. (2015). Hydrogen sulfide-releasing naproxen suppresses colon cancer cell growth and inhibits NF-κB signaling. Drug Design Development and Therapy. 9. 4873–4873. 26 indexed citations
8.
Vannini, Federica, Khosrow Kashfi, & Niharika Nath. (2015). The dual role of iNOS in cancer. Redox Biology. 6. 334–343. 415 indexed citations breakdown →
9.
Chattopadhyay, Mitali, et al.. (2013). Hydrogen sulfide-releasing aspirin inhibits the growth of leukemic Jurkat cells and modulates β-catenin expression. Leukemia Research. 37(10). 1302–1308. 18 indexed citations
10.
Chattopadhyay, Mitali, et al.. (2011). Hydrogen sulfide-releasing aspirin suppresses NF-κB signaling in estrogen receptor negative breast cancer cells in vitro and in vivo. Biochemical Pharmacology. 83(6). 723–732. 88 indexed citations
11.
Kodela, Ravinder, Mitali Chattopadhyay, Niharika Nath, et al.. (2011). Synthesis and biological activity of acetyl-protected hydroxybenzyl diethyl phosphates (EHBP) as potential chemotherapeutic agents. Bioorganic & Medicinal Chemistry Letters. 21(23). 7146–7150. 4 indexed citations
12.
Nath, Niharika, Mitali Chattopadhyay, Satindra Goswami, et al.. (2010). JS-K; a nitric oxide-releasing prodrug, modulates β-catenin/TCF signaling in leukemic Jurkat cells: Evidence of an S-nitrosylated mechanism. Biochemical Pharmacology. 80(11). 1641–1649. 27 indexed citations
13.
Srivastava, Preeti, Niharika Nath, & J. K. Deb. (2006). Characterization of broad host range cryptic plasmid pCR1 from Corynebacterium renale. Plasmid. 56(1). 24–34. 8 indexed citations
14.
Nath, Niharika, et al.. (2004). NO-donating aspirin inhibits the growth of leukemic Jurkat cells and modulates β-catenin expression. Biochemical and Biophysical Research Communications. 326(1). 93–99. 27 indexed citations
15.
Nath, Niharika, Sheng Wang, Vicki Betts, Erik S. Knudsen, & Srikumar Chellappan. (2003). Apoptotic and mitogenic stimuli inactivate Rb by differential utilization of p38 and cyclin-dependent kinases. Oncogene. 22(38). 5986–5994. 31 indexed citations
16.
Dan, Chuntao, et al.. (2002). PAK5, a New Brain-Specific Kinase, Promotes Neurite Outgrowth in N1E-115 Cells. Molecular and Cellular Biology. 22(2). 567–577. 142 indexed citations
17.
Gewirtz, David A., et al.. (2001). Rb Dephosphorylation and Suppression of E2F Activity in Human Breast Tumor Cells Exposed to a Pharmacological Concentration of Estradiol. Archives of Biochemistry and Biophysics. 388(2). 243–252. 3 indexed citations
18.
Deb, J. K. & Niharika Nath. (1999). Plasmids of corynebacteria. FEMS Microbiology Letters. 175(1). 11–20. 17 indexed citations
19.
Wang, Sheng, Niharika Nath, Gina Fusaro, & Srikumar Chellappan. (1999). Rb and Prohibitin Target Distinct Regions of E2F1 for Repression and Respond to Different Upstream Signals. Molecular and Cellular Biology. 19(11). 7447–7460. 139 indexed citations
20.
Wang, Sheng, Niharika Nath, Matthew Adlam, & Srikumar Chellappan. (1999). Prohibitin, a potential tumor suppressor, interacts with RB and regulates E2F function. Oncogene. 18(23). 3501–3510. 197 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026