Arpita Chatterjee

2.5k total citations
107 papers, 1.8k citations indexed

About

Arpita Chatterjee is a scholar working on Molecular Biology, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Arpita Chatterjee has authored 107 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Economics and Econometrics and 17 papers in General Economics, Econometrics and Finance. Recurrent topics in Arpita Chatterjee's work include Monetary Policy and Economic Impact (11 papers), Global Financial Crisis and Policies (10 papers) and Global trade and economics (9 papers). Arpita Chatterjee is often cited by papers focused on Monetary Policy and Economic Impact (11 papers), Global Financial Crisis and Policies (10 papers) and Global trade and economics (9 papers). Arpita Chatterjee collaborates with scholars based in United States, India and Australia. Arpita Chatterjee's co-authors include Woong Yong Park, Saroj Bhattarai, Rukhsana Chowdhury, Rebecca E. Oberley‐Deegan, Elizabeth A. Kosmacek, Rafael Dix-Carneiro, S. K. Ghosh, Pradeep K. Dutta, Tapas K. Hazra and Kuntal Biswas and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Arpita Chatterjee

100 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arpita Chatterjee United States	22	538	350	350	189	183	107	1.8k
Stefania Villa Italy	21	557 1.0×	175 0.5×	203 0.6×	120 0.6×	11 0.1×	120	1.4k
Tatsushi Oka Japan	25	1.1k 2.1×	159 0.5×	480 1.4×	185 1.0×	20 0.1×	75	2.1k
R.A. Cooper United Kingdom	25	1.3k 2.3×	49 0.1×	159 0.5×	37 0.2×	31 0.2×	41	2.4k
Jon Cohen Canada	18	171 0.3×	150 0.4×	350 1.0×	83 0.4×	9 0.0×	99	1.3k
Günter Lang Germany	23	328 0.6×	37 0.1×	275 0.8×	224 1.2×	8 0.0×	83	1.7k
John Lunn United States	22	338 0.6×	117 0.3×	74 0.2×	18 0.1×	22 0.1×	41	1.4k
Heinz Herrmann United States	24	956 1.8×	53 0.2×	142 0.4×	60 0.3×	10 0.1×	111	2.1k
Kaili Wang China	23	388 0.7×	87 0.2×	86 0.2×	80 0.4×	3 0.0×	83	1.4k
Shubing Liu China	26	297 0.6×	51 0.1×	133 0.4×	25 0.1×	14 0.1×	71	2.0k
Lisheng Wang China	27	1.1k 2.1×	32 0.1×	198 0.6×	94 0.5×	6 0.0×	87	2.9k

Countries citing papers authored by Arpita Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Arpita Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Chatterjee. A scholar is included among the top collaborators of Arpita Chatterjee 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 Arpita Chatterjee. Arpita Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kosmacek, Elizabeth A., et al.. (2026). BMX-001, a clinically relevant radioprotector, can reverse radiation-induced fibrosis when given three weeks after radiation, in part, by restoring methylation. Redox Biology. 90. 104020–104020.

Hassija, Vikas, et al.. (2025). Transformers for Vision: A Survey on Innovative Methods for Computer Vision. IEEE Access. 13. 95496–95523. 5 indexed citations

Chatterjee, Arpita, Elizabeth A. Kosmacek, Mei Liu, et al.. (2025). Identification of Potential Prophylactic Medical Countermeasures Against Acute Radiation Syndrome (ARS). International Journal of Molecular Sciences. 26(9). 4055–4055. 1 indexed citations

Chatterjee, Arpita, et al.. (2025). Catastrophe bond pricing under the renewal process. Scandinavian Actuarial Journal. 2025(10). 1025–1052.

Kosmacek, Elizabeth A., et al.. (2025). Irradiated obese adipocytes are prone to oxidative stress, inflammation, senescence, and fibrosis. Scientific Reports. 15(1). 39844–39844.

Kosmacek, Elizabeth A., Michael J. Baine, Arpita Chatterjee, et al.. (2024). Exogenous APN protects normal tissues from radiation-induced oxidative damage and fibrosis in mice and prostate cancer patients with higher levels of APN have less radiation-induced toxicities. Redox Biology. 73. 103219–103219. 9 indexed citations

Caselli, Mauro, Arpita Chatterjee, & Shengyu Li. (2023). Productivity and Quality of Multi-product Firms. SSRN Electronic Journal.

Kosmacek, Elizabeth A., et al.. (2022). CT vs. bioluminescence: A comparison of imaging techniques for orthotopic prostate tumors in mice. PLoS ONE. 17(11). e0277239–e0277239. 3 indexed citations

Lin, Chi, Jean L. Grem, Kelsey Klute, et al.. (2021). The Phase I Results of a Phase 1/2 Trial for Patients With Newly Diagnosed Anal Cancer Treated With Concurrent Radiation Therapy, 5-Fluorouracil, Mitomycin and BMX-001. International Journal of Radiation Oncology*Biology*Physics. 111(3). S103–S103. 1 indexed citations

10.

Zhu, Yuxiang, Divya Murthy, Sai Sundeep Kollala, et al.. (2021). The central role of NADPH depletion in MnTE-2-PyP-induced prostate cancer cell growth inhibition. SHILAP Revista de lepidopterología. 3. 100025–100025. 2 indexed citations

11.

Samawi, Hani M., Arpita Chatterjee, Jingjing Yin, & Haresh Rochani. (2016). On Kernel Density Estimation Based on Different Stratified Sampling. 2 indexed citations

12.

Chatterjee, Arpita, et al.. (2016). Non-inferiority test based on transformations for non-normal distributions. Computational Statistics & Data Analysis. 113. 73–87. 5 indexed citations

13.

Chatterjee, Arpita, et al.. (2011). Exploratory investigation on functional significance of ETS2 and SIM2 genes in Down syndrome.. SHILAP Revista de lepidopterología. 31(5). 247–57. 5 indexed citations

14.

Sinha, Swagata, et al.. (2009). Family‐based studies indicate association of Engrailed 2 gene with autism in an Indian population. Genes Brain & Behavior. 9(2). 248–255. 35 indexed citations

15.

Bagui, Subhash, Sikha Bagui, Arpita Chatterjee, & K. L. Mehra. (2005). Classification with multiple independent measurements under a separate sampling scheme. Statistical Methodology. 3(3). 234–251. 1 indexed citations

16.

Majumder, Mrinmoy, et al.. (1999). Studies on thermoadaptability of yaks. The Indian Journal of Animal Sciences. 69(11). 1 indexed citations

17.

Dutta, Chhanda, et al.. (1996). CHEMICAL AND PHARMACOLOGICAL PROPERTIES OF "BRAHMI".. PubMed. 8. 1–13. 2 indexed citations

18.

Joshi, Prakash Chandra, et al.. (1991). Hemidesminine. A new coumarino-lignoid from Hemidesmus indicus R.Br... 30(7). 712–713. 3 indexed citations

19.

Maiti, M., Sanjay Ghosh, Arpita Chatterjee, & Soumendranath Chatterjee. (1983). Thermal Stability of DNA Interacting with Furazolidone and Cu(II) Ions. Zeitschrift für Naturforschung C. 38(3-4). 290–293. 2 indexed citations

20.

Chatterjee, Arpita, et al.. (1963). CHEMICAL AND PHARMACOLOGICAL SCREENING OF VALERIANA WALLICHI, LALLEMENTIA ROYLEANA, BREYNIA RHAMNOIDES AND EVOLVULUS NUMULARIANS FOR SEDATIVE AND ANTICONVULSANT PRINCIPLES.. PubMed. 7. 73–91. 1 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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