William S. Lawrence

45 total papers · 863 total citations
23 papers, 526 citations indexed

About

William S. Lawrence is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, William S. Lawrence has authored 23 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Infectious Diseases and 6 papers in Genetics. Recurrent topics in William S. Lawrence's work include Bacillus and Francisella bacterial research (9 papers), Viral Infections and Vectors (4 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). William S. Lawrence is often cited by papers focused on Bacillus and Francisella bacterial research (9 papers), Viral Infections and Vectors (4 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). William S. Lawrence collaborates with scholars based in United States, Russia and Mexico. William S. Lawrence's co-authors include Xander H.T. Wehrens, Johnny W. Peterson, Na Li, Thomas Wieland, Kristine Skårdal, Jonathan L. Respress, Angela deAlmeida, Steven M. Pogwizd, Natale Rolim and Xun Ai and has published in prestigious journals such as Circulation Research, Hypertension and The Journal of Infectious Diseases.

In The Last Decade

William S. Lawrence

22 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
William S. Lawrence	250	164	135	67	63	23	526
Tsan‐Chi Chen	148 0.6×	99 0.6×	107 0.8×	53 0.8×	75 1.2×	28	565
Cynthia Fourgeux	188 0.8×	80 0.5×	166 1.2×	82 1.2×	49 0.8×	26	618
Pollob Shil	159 0.6×	103 0.6×	69 0.5×	68 1.0×	16 0.3×	29	513
C Argüello	306 1.2×	145 0.9×	84 0.6×	145 2.2×	9 0.1×	19	483
Nadine Krämer	184 0.7×	93 0.6×	41 0.3×	50 0.7×	15 0.2×	23	528
Víctor H. Monterroso	105 0.4×	141 0.9×	37 0.3×	40 0.6×	125 2.0×	20	512
A. MacGregor	168 0.7×	49 0.3×	109 0.8×	72 1.1×	75 1.2×	22	613
Yan Feng	300 1.2×	65 0.4×	93 0.7×	53 0.8×	15 0.2×	15	498
Tatjana Williams	229 0.9×	186 1.1×	19 0.1×	80 1.2×	38 0.6×	30	567
Sandra Högler	90 0.4×	125 0.8×	100 0.7×	75 1.1×	16 0.3×	32	504

Countries citing papers authored by William S. Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by William S. Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William S. Lawrence

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