John T. Gafford

12 total papers · 693 total citations
12 papers, 577 citations indexed

About

John T. Gafford is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, John T. Gafford has authored 12 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Plant Science. Recurrent topics in John T. Gafford's work include Protein Hydrolysis and Bioactive Peptides (4 papers), Neuropeptides and Animal Physiology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). John T. Gafford is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (4 papers), Neuropeptides and Animal Physiology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). John T. Gafford collaborates with scholars based in United States. John T. Gafford's co-authors include Ervin G. Erdös, Randal A. Skidgel, Louis B. Hersh, Alan D. Elbein, Mary C. Ericson, Alice Johnson, M.S. Kang, John A. Weare, H.S. Lu and Rajko Igić and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and PLANT PHYSIOLOGY.

In The Last Decade

John T. Gafford

12 papers receiving 521 citations

Author Peers

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

Author						Papers	Cites
John T. Gafford	303	227	170	108	98	12	577
Arthur T. Orawski	231 0.8×	257 1.1×	174 1.0×	106 1.0×	46 0.5×	15	516
Yoshiaki Bando	354 1.2×	83 0.4×	45 0.3×	101 0.9×	23 0.2×	12	684
C.K. Allerston	500 1.7×	106 0.5×	104 0.6×	46 0.4×	17 0.2×	20	686
Frank Wu	468 1.5×	61 0.3×	59 0.3×	21 0.2×	61 0.6×	10	640
Masayuki Okada	417 1.4×	85 0.4×	33 0.2×	51 0.5×	20 0.2×	11	631
William R. Welches	390 1.3×	102 0.4×	127 0.7×	50 0.5×	216 2.2×	9	654
Shinmee Mah	369 1.2×	82 0.4×	39 0.2×	23 0.2×	20 0.2×	13	596
Piya Lahiry	379 1.3×	76 0.3×	18 0.1×	50 0.5×	32 0.3×	16	642
Bernhard König	371 1.2×	92 0.4×	64 0.4×	33 0.3×	14 0.1×	19	567
E. Tsukuda	354 1.2×	38 0.2×	59 0.3×	15 0.1×	56 0.6×	10	516

Countries citing papers authored by John T. Gafford

Since Specialization

Citations

This map shows the geographic impact of John T. Gafford'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 John T. Gafford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Gafford more than expected).

Fields of papers citing papers by John T. Gafford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Gafford. 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 John T. Gafford. The network helps show where John T. Gafford may publish in the future.

Co-authorship network of co-authors of John T. Gafford

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Gafford. A scholar is included among the top collaborators of John T. Gafford 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 John T. Gafford. John T. Gafford 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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