Radha Pujari

29 total papers · 546 total citations
20 papers, 427 citations indexed

About

Radha Pujari is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Radha Pujari has authored 20 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Immunology and 3 papers in Genetics. Recurrent topics in Radha Pujari's work include Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (8 papers) and Immune Cell Function and Interaction (3 papers). Radha Pujari is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (8 papers) and Immune Cell Function and Interaction (3 papers). Radha Pujari collaborates with scholars based in India, Canada and United Kingdom. Radha Pujari's co-authors include Gautam Banerjee, Padma Shastry, Shashikala R. Inamdar, Bale M. Swamy, Anjali Shiras, Nagaraja N. Nagre, Vishwanath B. Chachadi, Jayashree C. Jagtap, Ashish Chugh and Ganesh Vilas Shelke and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Radha Pujari

20 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Radha Pujari	283	131	41	36	36	20	427
D. McCool	258 0.9×	103 0.8×	27 0.7×	30 0.8×	30 0.8×	14	412
Mirosław Jarząb	235 0.8×	60 0.5×	59 1.4×	22 0.6×	24 0.7×	20	476
N. S. Ranadive	174 0.6×	146 1.1×	30 0.7×	42 1.2×	10 0.3×	26	479
Hongliang Dong	172 0.6×	120 0.9×	58 1.4×	39 1.1×	26 0.7×	28	453
Jennifer T. Aguilan	242 0.9×	50 0.4×	27 0.7×	14 0.4×	23 0.6×	33	478
Joana Gaifem	224 0.8×	144 1.1×	29 0.7×	18 0.5×	21 0.6×	18	454
Mingang Zhu	251 0.9×	47 0.4×	27 0.7×	23 0.6×	28 0.8×	11	381
Shigeko Kijimoto‐Ochiai	279 1.0×	163 1.2×	21 0.5×	14 0.4×	11 0.3×	23	426
Federica Papaccio	120 0.4×	90 0.7×	48 1.2×	26 0.7×	21 0.6×	14	491
Suk Hwan Baek	286 1.0×	98 0.7×	66 1.6×	13 0.4×	18 0.5×	18	427

Countries citing papers authored by Radha Pujari

Since Specialization

Citations

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

Fields of papers citing papers by Radha Pujari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radha Pujari

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