Arpita Chatterjee

2.5k citations
107 papers · 1.8k indexed · h-index 22

Arpita Chatterjee

100 papers receiving 1.7k citations

Peers

Arpita Chatterjee
Comparison fields: 5 of 158
  • General Economics, Econometrics and Finance 350
  • Endocrinology 183
  • Finance 189
  • Molecular Medicine 66
  • Economics and Econometrics 350
Replace R.A. Cooper with:
R.A. Cooper United Kingdom
Tatsushi Oka Japan
Stefania Villa Italy
Heinz Herrmann United States
Günter Lang Germany
Kaili Wang China
Edward C. Heath United States
John Lunn United States
Lisheng Wang China
Roland Andersson Sweden
Arpita Chatterjee relative to R.A. Cooper United Kingdom R.A. Cooper's profile →
Citations per field
00.5×10.6×
R.A. Cooper · 1×
Citations per year

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

The 25 scholars most cited alongside Arpita Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arpita Chatterjee Line = papers co-authored together Arpita Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20255
3 20251
4 20250
5 20250
6 20249
7 20230
8 20223
9 20211
10 20212
11
On Kernel Density Estimation Based on Different Stratified Sampling
20162
12 20165
13 20115
14 200935
15 20051
16
Studies on thermoadaptability of yaks
19991
17
CHEMICAL AND PHARMACOLOGICAL PROPERTIES OF "BRAHMI".
19962
18
Hemidesminine. A new coumarino-lignoid from Hemidesmus indicus R.Br..
19913
19 19832
20
CHEMICAL AND PHARMACOLOGICAL SCREENING OF VALERIANA WALLICHI, LALLEMENTIA ROYLEANA, BREYNIA RHAMNOIDES AND EVOLVULUS NUMULARIANS FOR SEDATIVE AND ANTICONVULSANT PRINCIPLES.
19631

About Arpita Chatterjee

Arpita Chatterjee is a scholar working on Endocrinology, General Economics, Econometrics and Finance and Statistics and Probability, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (11 papers), Global Financial Crisis and Policies (10 papers), Global trade and economics (9 papers), Effects of Radiation Exposure (9 papers), Vibrio bacteria research studies (8 papers), Statistical Distribution Estimation and Applications (7 papers), Plant Virus Research Studies (7 papers) and Redox biology and oxidative stress (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (350 citations), Endocrinology (183 citations) and Finance (189 citations). Arpita Chatterjee has collaborated with scholars based in United States, India and Australia. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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