Milind M. Narurkar

23 total papers · 608 total citations
19 papers, 513 citations indexed

About

Milind M. Narurkar is a scholar working on Pharmacology, Organic Chemistry and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Milind M. Narurkar has authored 19 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 5 papers in Organic Chemistry and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Milind M. Narurkar's work include Antibiotics Pharmacokinetics and Efficacy (7 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Epilepsy research and treatment (5 papers). Milind M. Narurkar is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (7 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Epilepsy research and treatment (5 papers). Milind M. Narurkar collaborates with scholars based in United States, Japan and United Kingdom. Milind M. Narurkar's co-authors include Md. Saiful Islam, Ashim K. Mitra, Mansoor A. Khan, A. Michael Crider, Adel H. Karara, Allison Mann, Carlos Perdomo, Gregory L. Krauss, Yijun Sun and Christian E. Elger and has published in prestigious journals such as Blood, The Journal of Organic Chemistry and International Journal of Pharmaceutics.

In The Last Decade

Milind M. Narurkar

19 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Milind M. Narurkar 164 156 128 96 95 19 513
Guofei Li 79 0.5× 60 0.4× 94 0.7× 73 0.8× 184 1.9× 45 615
Jibin Li 87 0.5× 25 0.2× 93 0.7× 60 0.6× 124 1.3× 19 554
G. Gothóni 110 0.7× 38 0.2× 22 0.2× 100 1.0× 96 1.0× 25 488
M. Guyot 69 0.4× 54 0.3× 313 2.4× 40 0.4× 66 0.7× 22 552
Nobutoshi Watari 66 0.4× 23 0.1× 156 1.2× 78 0.8× 107 1.1× 36 517
Yasutaka Igari 69 0.4× 21 0.1× 146 1.1× 57 0.6× 152 1.6× 19 603
Yutaka Higashi 52 0.3× 18 0.1× 267 2.1× 66 0.7× 153 1.6× 39 619
Leo Gu 31 0.2× 42 0.3× 105 0.8× 34 0.4× 186 2.0× 17 488
D C Mays 66 0.4× 37 0.2× 16 0.1× 70 0.7× 109 1.1× 23 530
Víctor Mangas‐Sanjuan 30 0.2× 20 0.1× 147 1.1× 28 0.3× 142 1.5× 26 475

Countries citing papers authored by Milind M. Narurkar

Since Specialization
Citations

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

Fields of papers citing papers by Milind M. Narurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milind M. Narurkar. 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 Milind M. Narurkar. The network helps show where Milind M. Narurkar may publish in the future.

Co-authorship network of co-authors of Milind M. Narurkar

This figure shows the co-authorship network connecting the top 25 collaborators of Milind M. Narurkar. A scholar is included among the top collaborators of Milind M. Narurkar 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 Milind M. Narurkar. Milind M. Narurkar 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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