William F. Kiesman

46 total papers · 951 total citations
32 papers, 712 citations indexed

About

William F. Kiesman is a scholar working on Organic Chemistry, Molecular Biology and Physiology. According to data from OpenAlex, William F. Kiesman has authored 32 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 12 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in William F. Kiesman's work include Adenosine and Purinergic Signaling (7 papers), Synthesis and Biological Evaluation (6 papers) and Asymmetric Synthesis and Catalysis (5 papers). William F. Kiesman is often cited by papers focused on Adenosine and Purinergic Signaling (7 papers), Synthesis and Biological Evaluation (6 papers) and Asymmetric Synthesis and Catalysis (5 papers). William F. Kiesman collaborates with scholars based in United States, Switzerland and Germany. William F. Kiesman's co-authors include John G. Allen, Mark J. Burk, Elfatih Elzein, Jeff Zablocki, Russell C. Petter, Xianglin Shi, Zhili Xin, Patrick R. Conlon, Glenn J. Smits and Xiaowei Jin and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

William F. Kiesman

32 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
William F. Kiesman	395	283	141	108	57	32	712
Jaemoon Lee	416 1.1×	211 0.7×	30 0.2×	90 0.8×	62 1.1×	64	796
Natalie A. Hawryluk	483 1.2×	349 1.2×	47 0.3×	61 0.6×	13 0.2×	22	885
David K. Dean	442 1.1×	304 1.1×	88 0.6×	34 0.3×	12 0.2×	28	768
An‐Hu Li	501 1.3×	383 1.4×	319 2.3×	51 0.5×	12 0.2×	20	819
Ronald T. Wester	273 0.7×	271 1.0×	24 0.2×	52 0.5×	19 0.3×	20	805
Takashi Kawakita	573 1.5×	238 0.8×	48 0.3×	239 2.2×	32 0.6×	22	748
Raghuram Rao Akkinepally	478 1.2×	238 0.8×	58 0.4×	28 0.3×	17 0.3×	49	796
Rita K. Upmacis	161 0.4×	145 0.5×	21 0.1×	138 1.3×	20 0.4×	40	903
Mikhail V. Makarov	222 0.6×	312 1.1×	178 1.3×	31 0.3×	17 0.3×	42	867
Bernat Vidal	557 1.4×	237 0.8×	102 0.7×	67 0.6×	13 0.2×	39	772

Countries citing papers authored by William F. Kiesman

Since Specialization

Citations

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

Fields of papers citing papers by William F. Kiesman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William F. Kiesman

This figure shows the co-authorship network connecting the top 25 collaborators of William F. Kiesman. A scholar is included among the top collaborators of William F. Kiesman 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 F. Kiesman. William F. Kiesman 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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