G Puavilai

44 total papers · 882 total citations
35 papers, 691 citations indexed

About

G Puavilai is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, G Puavilai has authored 35 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Genetics and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in G Puavilai's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Bone health and osteoporosis research (7 papers) and Diabetes and associated disorders (5 papers). G Puavilai is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Bone health and osteoporosis research (7 papers) and Diabetes and associated disorders (5 papers). G Puavilai collaborates with scholars based in Thailand and United States. G Puavilai's co-authors include Suwannee Chanprasertyotin, Boonsong Ongphiphadhanakul, Rajata Rajatanavin, Noppawan Piaseu, Suwannee Chanprasertyothin, La‐or Chailurkit, Gerhard Baumann, Suchai Sriprachya‐anunt, Elaine Drobny and Anavaj Sakuntabhai and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Metabolism.

In The Last Decade

G Puavilai

35 papers receiving 650 citations

Author Peers

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

Author						Papers	Cites
G Puavilai	266	158	157	109	104	35	691
H. E. Sjöberg	245 0.9×	135 0.9×	141 0.9×	92 0.8×	157 1.5×	46	759
Margaret Rees	197 0.7×	106 0.7×	61 0.4×	142 1.3×	56 0.5×	26	571
A. Michael Spiekerman	129 0.5×	86 0.5×	146 0.9×	58 0.5×	108 1.0×	22	700
Orhun Çamurdan	157 0.6×	84 0.5×	115 0.7×	33 0.3×	56 0.5×	35	564
Mithat Erenus	226 0.8×	146 0.9×	78 0.5×	58 0.5×	27 0.3×	48	699
M. D’Herbomez	392 1.5×	132 0.8×	116 0.7×	87 0.8×	178 1.7×	47	698
Xuezhi Jiang	115 0.4×	112 0.7×	169 1.1×	234 2.1×	118 1.1×	50	746
Gul Bano	218 0.8×	76 0.5×	120 0.8×	35 0.3×	165 1.6×	43	768
Kamal A.S. Al-Shoumer	410 1.5×	77 0.5×	103 0.7×	34 0.3×	71 0.7×	31	790
M J Diver	292 1.1×	70 0.4×	111 0.7×	61 0.6×	80 0.8×	41	703

Countries citing papers authored by G Puavilai

Since Specialization

Citations

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

Fields of papers citing papers by G Puavilai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Puavilai

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