G. Forrest Woods

69 total papers · 1.2k total citations
40 papers, 527 citations indexed

About

G. Forrest Woods is a scholar working on Organic Chemistry, Molecular Biology and Genetics. According to data from OpenAlex, G. Forrest Woods has authored 40 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Organic Chemistry, 19 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in G. Forrest Woods's work include Steroid Chemistry and Biochemistry (14 papers), Estrogen and related hormone effects (9 papers) and Organic Chemistry Cycloaddition Reactions (6 papers). G. Forrest Woods is often cited by papers focused on Steroid Chemistry and Biochemistry (14 papers), Estrogen and related hormone effects (9 papers) and Organic Chemistry Cycloaddition Reactions (6 papers). G. Forrest Woods collaborates with scholars based in United States, Netherlands and Australia. G. Forrest Woods's co-authors include J. K. Norymberski, E. R. H. Jones, I. M. Heilbron, Carel W. Funke, S. R. Stitch, Jack Toumba, Marinus B. Groen, Charles W. Spangler, B.K. van Weemen and F. Coulston and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Chemosphere.

In The Last Decade

G. Forrest Woods

37 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
G. Forrest Woods	225	197	88	66	60	40	527
Ryuuta Fukutomi	245 1.1×	124 0.6×	120 1.4×	31 0.5×	32 0.5×	20	519
Naoyuki Koizumi	231 1.0×	130 0.7×	216 2.5×	96 1.5×	19 0.3×	21	589
Ralf Plate	250 1.1×	291 1.5×	40 0.5×	129 2.0×	15 0.3×	47	587
Tadao Taguchi	173 0.8×	69 0.4×	23 0.3×	103 1.6×	38 0.6×	29	550
Jeffrey Sarver	203 0.9×	65 0.3×	41 0.5×	34 0.5×	15 0.3×	34	527
Greta Pifat	210 0.9×	62 0.3×	21 0.2×	37 0.6×	70 1.2×	50	564
Donald F. Diedrich	376 1.7×	33 0.2×	46 0.5×	75 1.1×	26 0.4×	33	590
Jane A. McLaughlin	290 1.3×	74 0.4×	23 0.3×	24 0.4×	41 0.7×	25	615
Shahid M. Nayeem	330 1.5×	129 0.7×	20 0.2×	35 0.5×	24 0.4×	40	608
Martina Zatloukalová	292 1.3×	85 0.4×	27 0.3×	25 0.4×	35 0.6×	48	605

Countries citing papers authored by G. Forrest Woods

Since Specialization

Citations

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

Fields of papers citing papers by G. Forrest Woods

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Forrest Woods

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