Premanand V. Wagh

29 total papers · 876 total citations
25 papers, 666 citations indexed

About

Premanand V. Wagh is a scholar working on Molecular Biology, Nutrition and Dietetics and Organic Chemistry. According to data from OpenAlex, Premanand V. Wagh has authored 25 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Nutrition and Dietetics and 5 papers in Organic Chemistry. Recurrent topics in Premanand V. Wagh's work include Glycosylation and Glycoproteins Research (7 papers), Microbial Metabolites in Food Biotechnology (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Premanand V. Wagh is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Microbial Metabolites in Food Biotechnology (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Premanand V. Wagh collaborates with scholars based in United States, Guatemala and Sweden. Premanand V. Wagh's co-authors include Raymond C. Read, Jack Lippes, Richard J. Winzler, O.P. Bahl, P.E. Waibel, H. J. White, Alan D. Elbein, C. N. Sun, Robert C. Read and I. E. Liener and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Premanand V. Wagh

25 papers receiving 596 citations

Author Peers

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

Author						Papers	Cites
Premanand V. Wagh	234	219	99	89	71	25	666
G P Roberts	295 1.3×	47 0.2×	48 0.5×	89 1.0×	91 1.3×	25	708
Katalin Kiss	267 1.1×	59 0.3×	31 0.3×	19 0.2×	68 1.0×	39	684
E Leone	439 1.9×	44 0.2×	97 1.0×	20 0.2×	35 0.5×	36	719
Richard L. Aspinall	102 0.4×	104 0.5×	25 0.3×	62 0.7×	34 0.5×	20	672
Shin Yoshioka	379 1.6×	20 0.1×	68 0.7×	74 0.8×	73 1.0×	27	730
Antti Iitiä	262 1.1×	152 0.7×	88 0.9×	12 0.1×	78 1.1×	23	738
F Loisillier	219 0.9×	126 0.6×	22 0.2×	15 0.2×	15 0.2×	38	607
William F. McLimans	378 1.6×	92 0.4×	9 0.1×	40 0.4×	27 0.4×	28	748
Carolyn A. Brown	161 0.7×	115 0.5×	32 0.3×	12 0.1×	55 0.8×	30	751
Kenneth N. Gray	167 0.7×	46 0.2×	50 0.5×	19 0.2×	50 0.7×	29	585

Countries citing papers authored by Premanand V. Wagh

Since Specialization

Citations

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

Fields of papers citing papers by Premanand V. Wagh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Premanand V. Wagh. 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 Premanand V. Wagh. The network helps show where Premanand V. Wagh may publish in the future.

Co-authorship network of co-authors of Premanand V. Wagh

This figure shows the co-authorship network connecting the top 25 collaborators of Premanand V. Wagh. A scholar is included among the top collaborators of Premanand V. Wagh 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 Premanand V. Wagh. Premanand V. Wagh 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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