William G. Padolina

37 total papers · 750 total citations
21 papers, 612 citations indexed

About

William G. Padolina is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, William G. Padolina has authored 21 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Plant Science. Recurrent topics in William G. Padolina's work include Sesquiterpenes and Asteraceae Studies (10 papers), Phytochemistry and Biological Activities (7 papers) and Natural product bioactivities and synthesis (6 papers). William G. Padolina is often cited by papers focused on Sesquiterpenes and Asteraceae Studies (10 papers), Phytochemistry and Biological Activities (7 papers) and Natural product bioactivities and synthesis (6 papers). William G. Padolina collaborates with scholars based in Philippines, Japan and United States. William G. Padolina's co-authors include Tom J. Mabry, Fumiko Abe, Tatsuo Yamauchi, Nobuji Nakatani, Samuel B. Jones, Hiroe Kikuzaki, Hideaki Otsuka, Kazuo Yamasaki, Fabian M. Dayrit and Naoko Kubo and has published in prestigious journals such as Tetrahedron, Phytochemistry and Journal of the American Oil Chemists Society.

In The Last Decade

William G. Padolina

21 papers receiving 567 citations

Author Peers

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

Author						Papers	Cites
William G. Padolina	308	285	216	162	100	21	612
Phan Tông Son	295 1.0×	422 1.5×	131 0.6×	71 0.4×	133 1.3×	40	657
N. Viswanathan	204 0.7×	372 1.3×	106 0.5×	98 0.6×	41 0.4×	34	697
E. R. Silveira	265 0.9×	236 0.8×	138 0.6×	101 0.6×	177 1.8×	31	620
E. Mongelli	305 1.0×	177 0.6×	117 0.5×	57 0.4×	145 1.4×	19	518
Cristiane Fernanda Fuzer Grael	273 0.9×	209 0.7×	87 0.4×	72 0.4×	95 0.9×	23	518
J.L. Beal	198 0.6×	208 0.7×	121 0.6×	42 0.3×	116 1.2×	31	525
Long‐Ze Lin	243 0.8×	399 1.4×	96 0.4×	70 0.4×	62 0.6×	37	635
Vicente de Paulo Emerenciano	198 0.6×	301 1.1×	71 0.3×	93 0.6×	112 1.1×	31	523
Mauricio J. Pestchanker	132 0.4×	300 1.1×	80 0.4×	165 1.0×	60 0.6×	28	553
Zushang Su	290 0.9×	364 1.3×	56 0.3×	85 0.5×	95 0.9×	23	695

Countries citing papers authored by William G. Padolina

Since Specialization

Citations

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

Fields of papers citing papers by William G. Padolina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William G. Padolina

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Padolina. A scholar is included among the top collaborators of William G. Padolina 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 William G. Padolina. William G. Padolina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact