Sunaina Sharma

21 total papers · 618 total citations
16 papers, 452 citations indexed

About

Sunaina Sharma is a scholar working on Organic Chemistry, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Sunaina Sharma has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Organic Chemistry, 8 papers in Inorganic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Sunaina Sharma's work include Coordination Chemistry and Organometallics (8 papers), Synthesis and characterization of novel inorganic/organometallic compounds (5 papers) and Organometallic Complex Synthesis and Catalysis (3 papers). Sunaina Sharma is often cited by papers focused on Coordination Chemistry and Organometallics (8 papers), Synthesis and characterization of novel inorganic/organometallic compounds (5 papers) and Organometallic Complex Synthesis and Catalysis (3 papers). Sunaina Sharma collaborates with scholars based in Canada, United States and Netherlands. Sunaina Sharma's co-authors include A. C. Oehlschlager, Bruce H. Lipshutz, Edmund L. Ellsworth, Shankar M. Singh, Barry M. Trost, Thomas Schmidt, Deborah C. Reuter, Gregor Reid, Marc W. Mittelman and Reijo Aksela and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Tetrahedron.

In The Last Decade

Sunaina Sharma

16 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Sunaina Sharma	375	92	85	22	22	16	452
Stephen E. Shanahan	305 0.8×	103 1.1×	114 1.3×	43 2.0×	14 0.6×	13	418
Mark R. Fielding	473 1.3×	77 0.8×	77 0.9×	21 1.0×	14 0.6×	14	527
Masatoshi Nagamochi	435 1.2×	49 0.5×	85 1.0×	29 1.3×	16 0.7×	19	524
Richard H. Yu	390 1.0×	68 0.7×	167 2.0×	29 1.3×	19 0.9×	11	496
M. Robert Leanna	442 1.2×	69 0.8×	192 2.3×	37 1.7×	21 1.0×	24	550
Martin E. Fox	432 1.2×	138 1.5×	129 1.5×	34 1.5×	17 0.8×	27	502
Shiping Xie	376 1.0×	88 1.0×	200 2.4×	28 1.3×	19 0.9×	22	507
Shaojing Hu	392 1.0×	62 0.7×	77 0.9×	43 2.0×	11 0.5×	15	457
Katsuya Tagami	355 0.9×	55 0.6×	104 1.2×	35 1.6×	37 1.7×	19	443
Chunngai Hui	437 1.2×	102 1.1×	141 1.7×	43 2.0×	13 0.6×	18	547

Countries citing papers authored by Sunaina Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Sunaina Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunaina Sharma

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