Kumari Neha

94 total papers · 1.3k total citations
37 papers, 884 citations indexed

About

Kumari Neha is a scholar working on Organic Chemistry, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kumari Neha has authored 37 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kumari Neha's work include Synthesis and biological activity (4 papers), Innovations in Medical Education (3 papers) and Problem and Project Based Learning (3 papers). Kumari Neha is often cited by papers focused on Synthesis and biological activity (4 papers), Innovations in Medical Education (3 papers) and Problem and Project Based Learning (3 papers). Kumari Neha collaborates with scholars based in India, United States and Botswana. Kumari Neha's co-authors include Mohammad Shahar Yar, Md Rafi Haider, Ankita Pathak, Kashif Haider, Faraat Ali, Rajeev Kharb, Sharad Wakode, Garima Chauhan, Syed Shafi and Fatima Naaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Pediatrics and European Journal of Medicinal Chemistry.

In The Last Decade

Kumari Neha

28 papers receiving 858 citations

Hit Papers

Medicinal prospects of an... 2019 2026 2021 2023 2019 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kumari Neha 236 207 131 105 80 37 884
Luiz Marcos da Fonseca 294 1.2× 125 0.6× 101 0.8× 136 1.3× 100 1.3× 45 930
M Ogata 194 0.8× 151 0.7× 97 0.7× 101 1.0× 77 1.0× 55 965
Narcyz Knap 290 1.2× 189 0.9× 149 1.1× 102 1.0× 39 0.5× 33 995
Mustafa Karatepe 168 0.7× 231 1.1× 139 1.1× 144 1.4× 79 1.0× 47 897
Amit Singh 326 1.4× 217 1.0× 96 0.7× 115 1.1× 117 1.5× 35 917
Agnieszka Gunia‐Krzyżak 323 1.4× 273 1.3× 68 0.5× 113 1.1× 134 1.7× 51 988
Claudriana Locatelli 275 1.2× 133 0.6× 134 1.0× 154 1.5× 33 0.4× 56 977
Pablo Peñalver 409 1.7× 302 1.5× 227 1.7× 93 0.9× 42 0.5× 43 943
Dominique Vervandier‐Fasseur 283 1.2× 141 0.7× 75 0.6× 75 0.7× 76 0.9× 22 782
Cristina Minnelli 360 1.5× 130 0.6× 82 0.6× 43 0.4× 101 1.3× 52 1.0k

Countries citing papers authored by Kumari Neha

Since Specialization
Citations

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

Fields of papers citing papers by Kumari Neha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumari Neha

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