Vikas Bajpai

60 total papers · 889 total citations
34 papers, 682 citations indexed

About

Vikas Bajpai is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Vikas Bajpai has authored 34 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Organic Chemistry and 9 papers in Pharmacology. Recurrent topics in Vikas Bajpai's work include Berberine and alkaloids research (8 papers), Essential Oils and Antimicrobial Activity (5 papers) and Alkaloids: synthesis and pharmacology (5 papers). Vikas Bajpai is often cited by papers focused on Berberine and alkaloids research (8 papers), Essential Oils and Antimicrobial Activity (5 papers) and Alkaloids: synthesis and pharmacology (5 papers). Vikas Bajpai collaborates with scholars based in India, Poland and China. Vikas Bajpai's co-authors include Sunil Kumar, Brijesh Kumar, Awantika Singh, Brijesh Kumar, Mukesh Srivastava, K. B. Rameshkumar, Vikas Tyagi, Prem M. S. Chauhan, Shahnawaz Khan and Dipak Kumar Mishra and has published in prestigious journals such as The Journal of Organic Chemistry, Organic Letters and RSC Advances.

In The Last Decade

Vikas Bajpai

34 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
Vikas Bajpai	237	233	176	145	112	34	682
Hala M. Hammoda	266 1.1×	183 0.8×	230 1.3×	211 1.5×	164 1.5×	59	778
Louis Jung	197 0.8×	159 0.7×	171 1.0×	111 0.8×	119 1.1×	38	756
Li‐Kang Ho	263 1.1×	130 0.6×	129 0.7×	98 0.7×	72 0.6×	29	706
Mamta B. Shah	189 0.8×	188 0.8×	213 1.2×	111 0.8×	94 0.8×	68	770
Shaimaa Fayez	220 0.9×	195 0.8×	131 0.7×	83 0.6×	89 0.8×	44	631
P.L. Schiff	281 1.2×	168 0.7×	208 1.2×	178 1.2×	97 0.9×	54	772
Long‐Ze Lin	399 1.7×	115 0.5×	243 1.4×	96 0.7×	62 0.6×	37	635
Abraham Wube	304 1.3×	182 0.8×	181 1.0×	77 0.5×	79 0.7×	16	687
Giovanna Palazzino	292 1.2×	241 1.0×	212 1.2×	70 0.5×	73 0.7×	48	760
Béatrice Baghdikian	239 1.0×	133 0.6×	237 1.3×	95 0.7×	166 1.5×	40	640

Countries citing papers authored by Vikas Bajpai

Since Specialization

Citations

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

Fields of papers citing papers by Vikas Bajpai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Bajpai

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