Anindya Dasgupta

86 total papers · 824 total citations
53 papers, 645 citations indexed

About

Anindya Dasgupta is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, Anindya Dasgupta has authored 53 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Reproductive Medicine. Recurrent topics in Anindya Dasgupta's work include Semiconductor materials and devices (6 papers), Ovarian function and disorders (5 papers) and Advanced Memory and Neural Computing (4 papers). Anindya Dasgupta is often cited by papers focused on Semiconductor materials and devices (6 papers), Ovarian function and disorders (5 papers) and Advanced Memory and Neural Computing (4 papers). Anindya Dasgupta collaborates with scholars based in India, United States and Russia. Anindya Dasgupta's co-authors include Om Prakash Singh, Indranil Chakraborty, Sutirtha Chakraborty, Anjan Kumar Das, Christos G. Takoudis, Malathi K. Kistler, W. Stephen Kistler, Gary Horvath, Ravindra K. Rawal and Nidhi Joshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Anindya Dasgupta

48 papers receiving 631 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anindya Dasgupta	160	125	120	73	60	53	645
Vincent Millischer	257 1.6×	146 1.2×	109 0.9×	57 0.8×	48 0.8×	28	627
Hiroshi Naitoh	174 1.1×	116 0.9×	83 0.7×	62 0.8×	150 2.5×	60	679
Sara Momtazmanesh	175 1.1×	179 1.4×	131 1.1×	90 1.2×	52 0.9×	37	764
Yifeng Shen	259 1.6×	96 0.8×	119 1.0×	72 1.0×	95 1.6×	60	730
Yijie Du	157 1.0×	96 0.8×	93 0.8×	25 0.3×	34 0.6×	37	657
Razieh Mohammad Jafari	217 1.4×	44 0.4×	82 0.7×	28 0.4×	79 1.3×	78	786
Ling Xiao	152 0.9×	124 1.0×	52 0.4×	29 0.4×	52 0.9×	47	713
Claudia Del Grande	108 0.7×	48 0.4×	112 0.9×	146 2.0×	59 1.0×	38	613
Seong‐Su Nah	152 0.9×	41 0.3×	161 1.3×	35 0.5×	34 0.6×	33	711
Maria Luisa Sartori	77 0.5×	67 0.5×	52 0.4×	43 0.6×	32 0.5×	30	559

Countries citing papers authored by Anindya Dasgupta

Since Specialization

Citations

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

Fields of papers citing papers by Anindya Dasgupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Dasgupta

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

All Works

Loading papers...

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