G. C. Kedar

10 total papers · 858 total citations
8 papers, 281 citations indexed

About

G. C. Kedar is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, G. C. Kedar has authored 8 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in G. C. Kedar's work include Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). G. C. Kedar is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). G. C. Kedar collaborates with scholars based in United States, Spain and South Korea. G. C. Kedar's co-authors include M.T. Hilgers, Karen Joy Shaw, John M. Finn, Jeffrey B. Locke, Juan J. Picazo, Jeffrey L. Stein, Gracia Morales, Robert J. Haselbeck, Vickie Brown‐Driver and Mark A. Stidham and has published in prestigious journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

G. C. Kedar

8 papers receiving 268 citations

Author Peers

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

Author						Papers	Cites
G. C. Kedar	164	153	77	52	43	8	281
J. Andrew N. Alexander	113 0.7×	146 1.0×	106 1.4×	20 0.4×	45 1.0×	13	305
Simona Purrello	229 1.4×	190 1.2×	55 0.7×	95 1.8×	19 0.4×	8	331
Jenna E. Beam	112 0.7×	150 1.0×	75 1.0×	18 0.3×	51 1.2×	9	312
Mélanie Roch	150 0.9×	131 0.9×	117 1.5×	50 1.0×	19 0.4×	18	312
Lucien Barnes	87 0.5×	114 0.7×	101 1.3×	49 0.9×	13 0.3×	6	281
Elizabeth N. Tan	62 0.4×	135 0.9×	124 1.6×	30 0.6×	57 1.3×	7	314
Natalia Kapel	64 0.4×	141 0.9×	113 1.5×	41 0.8×	38 0.9×	7	294
Alec D. Wilkinson	93 0.6×	146 1.0×	85 1.1×	14 0.3×	47 1.1×	7	309
Thaina Miranda da Costa	200 1.2×	163 1.1×	73 0.9×	73 1.4×	15 0.3×	16	312
Hwa Su Kim	134 0.8×	143 0.9×	183 2.4×	78 1.5×	15 0.3×	18	331

Countries citing papers authored by G. C. Kedar

Since Specialization

Citations

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

Fields of papers citing papers by G. C. Kedar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. C. Kedar. 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 G. C. Kedar. The network helps show where G. C. Kedar may publish in the future.

Co-authorship network of co-authors of G. C. Kedar

This figure shows the co-authorship network connecting the top 25 collaborators of G. C. Kedar. A scholar is included among the top collaborators of G. C. Kedar 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 G. C. Kedar. G. C. Kedar 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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