Arpana Pandit

27 total papers · 618 total citations
19 papers, 479 citations indexed

About

Arpana Pandit is a scholar working on Physiology, Organizational Behavior and Human Resource Management and Geriatrics and Gerontology. According to data from OpenAlex, Arpana Pandit has authored 19 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Organizational Behavior and Human Resource Management and 3 papers in Geriatrics and Gerontology. Recurrent topics in Arpana Pandit's work include Calcium signaling and nucleotide metabolism (4 papers), Global Public Health Policies and Epidemiology (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Arpana Pandit is often cited by papers focused on Calcium signaling and nucleotide metabolism (4 papers), Global Public Health Policies and Epidemiology (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Arpana Pandit collaborates with scholars based in South Korea, Nepal and Japan. Arpana Pandit's co-authors include Hong‐Seob So, AiHua Shen, Dipendra Khadka, Gi‐Su Oh, Hyungjin Kim, Meghnath Dhimal, Khem Bahadur Karki, Krishna Kumar Aryal, Bihungum Bista and Suresh Mehata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Arpana Pandit

19 papers receiving 476 citations

Author Peers

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

Author						Papers	Cites
Arpana Pandit	154	98	92	67	47	19	479
Dipendra Khadka	157 1.0×	51 0.5×	127 1.4×	86 1.3×	76 1.6×	29	522
Bich Tran	145 0.9×	66 0.7×	84 0.9×	100 1.5×	62 1.3×	28	513
Ramazan Ulu	97 0.6×	60 0.6×	59 0.6×	55 0.8×	30 0.6×	24	420
Cynthia Moreau	140 0.9×	35 0.4×	67 0.7×	23 0.3×	67 1.4×	26	540
Mehdi Ebrahimi	71 0.5×	43 0.4×	79 0.9×	37 0.6×	38 0.8×	43	470
Sonia Camaño	163 1.1×	43 0.4×	131 1.4×	48 0.7×	42 0.9×	11	518
Aimee Faso	180 1.2×	68 0.7×	60 0.7×	152 2.3×	94 2.0×	8	534
Sayaka Sasaoka	51 0.3×	34 0.3×	67 0.7×	75 1.1×	26 0.6×	24	502
Hongzhou Meng	171 1.1×	72 0.7×	130 1.4×	46 0.7×	80 1.7×	18	531
Yumi Motooka	51 0.3×	33 0.3×	59 0.6×	49 0.7×	23 0.5×	22	428

Countries citing papers authored by Arpana Pandit

Since Specialization

Citations

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

Fields of papers citing papers by Arpana Pandit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpana Pandit

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

All Works

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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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