Edward Chin

15 total papers · 886 total citations
12 papers, 753 citations indexed

About

Edward Chin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Edward Chin has authored 12 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Edward Chin's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pancreatic function and diabetes (5 papers) and Glycosylation and Glycoproteins Research (2 papers). Edward Chin is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Pancreatic function and diabetes (5 papers) and Glycosylation and Glycoproteins Research (2 papers). Edward Chin collaborates with scholars based in United States, Denmark and Canada. Edward Chin's co-authors include Andrew J. Paterson, Jeffrey E. Kudlow, Carolyn A. Bondy, Kan Liu, Jian Zhou, Wen Xie, Louise T. Chow, Lisle M. Nabell, Meejeon Roh and Daniel Landau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Endocrinology.

In The Last Decade

Edward Chin

12 papers receiving 743 citations

Author Peers

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

Author						Papers	Cites
Edward Chin	436	206	120	116	114	12	753
John A. Mitchell	405 0.9×	142 0.7×	75 0.6×	74 0.6×	119 1.0×	18	777
Andrea M. Norfleet	285 0.7×	171 0.8×	53 0.4×	88 0.8×	36 0.3×	12	831
Rhona W. Baxendale	480 1.1×	57 0.3×	40 0.3×	52 0.4×	75 0.7×	11	749
Deborah A. Lazzarino	582 1.3×	179 0.9×	33 0.3×	215 1.9×	51 0.4×	19	870
Taisuke Nakata	316 0.7×	195 0.9×	21 0.2×	169 1.5×	69 0.6×	16	828
Kiyomi Fujikawa‐Adachi	440 1.0×	84 0.4×	86 0.7×	113 1.0×	73 0.6×	16	790
Anthony Vertino	478 1.1×	112 0.5×	35 0.3×	140 1.2×	114 1.0×	11	763
Huafei Zou	486 1.1×	104 0.5×	43 0.4×	102 0.9×	56 0.5×	25	770
Kimi S. Hatton	538 1.2×	62 0.3×	15 0.1×	103 0.9×	45 0.4×	8	768
D. T. Lincoln	407 0.9×	337 1.6×	54 0.5×	87 0.8×	28 0.2×	16	827

Countries citing papers authored by Edward Chin

Since Specialization

Citations

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

Fields of papers citing papers by Edward Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Chin

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