Rina Saksena

45 total papers · 1.0k total citations
33 papers, 796 citations indexed

About

Rina Saksena is a scholar working on Molecular Biology, Organic Chemistry and Endocrinology. According to data from OpenAlex, Rina Saksena has authored 33 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Organic Chemistry and 11 papers in Endocrinology. Recurrent topics in Rina Saksena's work include Glycosylation and Glycoproteins Research (16 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Vibrio bacteria research studies (11 papers). Rina Saksena is often cited by papers focused on Glycosylation and Glycoproteins Research (16 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Vibrio bacteria research studies (11 papers). Rina Saksena collaborates with scholars based in United States, India and Canada. Rina Saksena's co-authors include Pavol Kováč, Roberto Adamo, Shujie Hou, Xingquan Ma, P Kováč, William F. Wade, Terri K. Wade, A. Ya. Chernyak, Desh Deepak and Jian Zhang and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Infection and Immunity and Molecules.

In The Last Decade

Rina Saksena

33 papers receiving 784 citations

Author Peers

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

Author						Papers	Cites
Rina Saksena	510	333	167	137	105	33	796
Lisa M. Willis	472 0.9×	194 0.6×	86 0.5×	117 0.9×	98 0.9×	25	787
Vyacheslav L. L’vov	385 0.8×	315 0.9×	266 1.6×	137 1.0×	90 0.9×	45	714
A. M. Staub	399 0.8×	192 0.6×	216 1.3×	172 1.3×	108 1.0×	22	1.0k
Martin Allan	700 1.4×	284 0.9×	81 0.5×	68 0.5×	150 1.4×	24	966
Wojciech Jachymek	504 1.0×	340 1.0×	127 0.8×	81 0.6×	40 0.4×	48	919
Dvora Sudakevitz	563 1.1×	164 0.5×	118 0.7×	153 1.1×	86 0.8×	23	736
Yu. A. Knirel	379 0.7×	263 0.8×	125 0.7×	102 0.7×	149 1.4×	62	752
Tomasz Niedziela	388 0.8×	324 1.0×	127 0.8×	63 0.5×	31 0.3×	48	752
Dario Lehoux	364 0.7×	95 0.3×	109 0.7×	107 0.8×	187 1.8×	36	778
M.D.L. Suits	610 1.2×	168 0.5×	55 0.3×	57 0.4×	127 1.2×	25	885

Countries citing papers authored by Rina Saksena

Since Specialization

Citations

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

Fields of papers citing papers by Rina Saksena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Saksena

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