Lawrence W. Torley

17 total papers · 437 total citations
13 papers, 366 citations indexed

About

Lawrence W. Torley is a scholar working on Immunology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Lawrence W. Torley has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Organic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Lawrence W. Torley's work include Immune Response and Inflammation (3 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Lawrence W. Torley is often cited by papers focused on Immune Response and Inflammation (3 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Lawrence W. Torley collaborates with scholars based in China, United States and Netherlands. Lawrence W. Torley's co-authors include S.S. Kerwar, Susan Quinn DeJoy, Michael M. Wick, Robert Jeyaseelan, William E. Munger, Kenneth H. Grabstein, Ray Paxton, Allan Wissner, Constance Kohler and W C Pickett and has published in prestigious journals such as Analytical Biochemistry, Journal of Medicinal Chemistry and The Journal of Infectious Diseases.

In The Last Decade

Lawrence W. Torley

13 papers receiving 349 citations

Author Peers

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

Author						Papers	Cites
Lawrence W. Torley	195	121	93	57	42	13	366
D. Gurari-Rotman	166 0.9×	144 1.2×	91 1.0×	42 0.7×	28 0.7×	12	367
T. Ochiai	85 0.4×	114 0.9×	66 0.7×	47 0.8×	15 0.4×	16	363
Ben D.‐M. Chen	184 0.9×	192 1.6×	64 0.7×	39 0.7×	9 0.2×	18	399
Mildred C. McDaniel	139 0.7×	140 1.2×	46 0.5×	14 0.2×	53 1.3×	13	403
Andrew Ming‐Lum	149 0.8×	185 1.5×	65 0.7×	35 0.6×	22 0.5×	8	376
Albertina Pereira	171 0.9×	137 1.1×	52 0.6×	36 0.6×	28 0.7×	11	399
Eisen Hn	213 1.1×	176 1.5×	35 0.4×	27 0.5×	18 0.4×	11	402
Susan M. Metcalfe	96 0.5×	267 2.2×	74 0.8×	20 0.4×	20 0.5×	9	379
Atsutoshi Ikesue	148 0.8×	89 0.7×	74 0.8×	63 1.1×	11 0.3×	13	366
Zhiwen Guan	135 0.7×	131 1.1×	49 0.5×	37 0.6×	15 0.4×	11	375

Countries citing papers authored by Lawrence W. Torley

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence W. Torley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence W. Torley. 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 Lawrence W. Torley. The network helps show where Lawrence W. Torley may publish in the future.

Co-authorship network of co-authors of Lawrence W. Torley

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence W. Torley. A scholar is included among the top collaborators of Lawrence W. Torley 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 Lawrence W. Torley. Lawrence W. Torley 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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