Prabha Vadivelu

46 total papers · 673 total citations
27 papers, 601 citations indexed

About

Prabha Vadivelu is a scholar working on Organic Chemistry, Inorganic Chemistry and Oncology. According to data from OpenAlex, Prabha Vadivelu has authored 27 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 15 papers in Inorganic Chemistry and 10 papers in Oncology. Recurrent topics in Prabha Vadivelu's work include Metal-Catalyzed Oxygenation Mechanisms (11 papers), Metal complexes synthesis and properties (10 papers) and Carbon dioxide utilization in catalysis (6 papers). Prabha Vadivelu is often cited by papers focused on Metal-Catalyzed Oxygenation Mechanisms (11 papers), Metal complexes synthesis and properties (10 papers) and Carbon dioxide utilization in catalysis (6 papers). Prabha Vadivelu collaborates with scholars based in India, Germany and Spain. Prabha Vadivelu's co-authors include Peter Comba, Martin Maurer, Mallayan Palaniandavar, Muniyandi Sankaralingam, Cherumuttathu H. Suresh, Mani Balamurugan, Stuart A. Macgregor, Eringathodi Suresh, Antoni Llobet and Jordi Benet‐Buchholz and has published in prestigious journals such as Scientific Reports, Inorganic Chemistry and Chemistry - A European Journal.

In The Last Decade

Prabha Vadivelu

25 papers receiving 597 citations

Author Peers

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

Author						Papers	Cites
Prabha Vadivelu	407	255	225	209	108	27	601
M. Ángeles Máñez	312 0.8×	296 1.2×	273 1.2×	158 0.8×	89 0.8×	43	659
Davide Lionetti	293 0.7×	268 1.1×	116 0.5×	184 0.9×	103 1.0×	25	588
Martin Minelli	338 0.8×	384 1.5×	253 1.1×	209 1.0×	115 1.1×	38	682
Ernest S. Gore	216 0.5×	242 0.9×	236 1.0×	196 0.9×	162 1.5×	19	648
C.J. Harding	247 0.6×	186 0.7×	210 0.9×	215 1.0×	247 2.3×	26	621
Ethan A. Hill	329 0.8×	240 0.9×	151 0.7×	279 1.3×	103 1.0×	21	654
Ronald F. See	291 0.7×	362 1.4×	197 0.9×	135 0.6×	111 1.0×	31	585
Meenakshi Ghosh	323 0.8×	210 0.8×	283 1.3×	242 1.2×	261 2.4×	27	653
Liselotte Siegfried	189 0.5×	176 0.7×	328 1.5×	285 1.4×	182 1.7×	31	682
Alan J. Jircitano	261 0.6×	258 1.0×	220 1.0×	158 0.8×	167 1.5×	32	519

Countries citing papers authored by Prabha Vadivelu

Since Specialization

Citations

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

Fields of papers citing papers by Prabha Vadivelu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabha Vadivelu

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