Sapna Negi

83 total papers · 1.2k total citations
54 papers, 588 citations indexed

About

Sapna Negi is a scholar working on Molecular Biology, Clinical Psychology and Plant Science. According to data from OpenAlex, Sapna Negi has authored 54 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Clinical Psychology and 7 papers in Plant Science. Recurrent topics in Sapna Negi's work include Nematode management and characterization studies (7 papers), COVID-19 and Mental Health (5 papers) and COVID-19 epidemiological studies (5 papers). Sapna Negi is often cited by papers focused on Nematode management and characterization studies (7 papers), COVID-19 and Mental Health (5 papers) and COVID-19 epidemiological studies (5 papers). Sapna Negi collaborates with scholars based in India, China and Switzerland. Sapna Negi's co-authors include Sanghamitra Pati, B.K. Thelma, Ramesh C. Juyal, Krushna Chandra Sahoo, Jianren Ye, Bhavana Prasher, Samir K. Brahmachari, Sangeeta Khanna, Budheswar Dehury and Shilpi Aggarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gut.

In The Last Decade

Sapna Negi

45 papers receiving 567 citations

Author Peers

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

Author						Papers	Cites
Sapna Negi	161	139	93	90	55	54	588
Nur Atik	146 0.9×	70 0.5×	34 0.4×	57 0.6×	42 0.8×	75	575
Steven Foster	132 0.8×	196 1.4×	21 0.2×	141 1.6×	25 0.5×	39	605
Renata Nascimento de Freitas	123 0.8×	32 0.2×	39 0.4×	61 0.7×	13 0.2×	45	560
Yoshihiko Kawano	145 0.9×	27 0.2×	32 0.3×	45 0.5×	24 0.4×	39	566
Renata de Sousa Alves	209 1.3×	25 0.2×	234 2.5×	70 0.8×	21 0.4×	46	583
Mohsen Masoodi	154 1.0×	26 0.2×	64 0.7×	27 0.3×	12 0.2×	58	656
Hubert Wolski	121 0.8×	23 0.2×	36 0.4×	39 0.4×	81 1.5×	61	562
Alex Boye	196 1.2×	49 0.4×	9 0.1×	94 1.0×	40 0.7×	64	651
Michelle Skelton	200 1.2×	27 0.2×	92 1.0×	55 0.6×	24 0.4×	32	630
T Vijayakumar	75 0.5×	23 0.2×	26 0.3×	104 1.2×	26 0.5×	58	637

Countries citing papers authored by Sapna Negi

Since Specialization

Citations

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

Fields of papers citing papers by Sapna Negi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sapna Negi

This figure shows the co-authorship network connecting the top 25 collaborators of Sapna Negi. A scholar is included among the top collaborators of Sapna Negi 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 Sapna Negi. Sapna Negi 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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