William A. Larchian

30 total papers · 796 total citations
19 papers, 596 citations indexed

About

William A. Larchian is a scholar working on Surgery, Biotechnology and Molecular Biology. According to data from OpenAlex, William A. Larchian has authored 19 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Biotechnology and 4 papers in Molecular Biology. Recurrent topics in William A. Larchian's work include Bladder and Urothelial Cancer Treatments (11 papers), Cancer Research and Treatments (7 papers) and Nanoplatforms for cancer theranostics (3 papers). William A. Larchian is often cited by papers focused on Bladder and Urothelial Cancer Treatments (11 papers), Cancer Research and Treatments (7 papers) and Nanoplatforms for cancer theranostics (3 papers). William A. Larchian collaborates with scholars based in United States, China and Pakistan. William A. Larchian's co-authors include Warren D.W. Heston, Murray F. Brennan, Malayappa Jeevanandam, Herbert F. Oettgen, Janice Gabrilove, Robert S. Warren, H. Fletcher Starnes, Amit R. Patel, Eddie Chan and Yutaka Horiguchi and has published in prestigious journals such as Journal of Clinical Investigation, Cancer and The Journal of Urology.

In The Last Decade

William A. Larchian

19 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
William A. Larchian 202 143 138 91 89 19 596
Hiroko Fujii 79 0.4× 158 1.1× 122 0.9× 38 0.4× 23 0.3× 39 674
Jimmy J. Brown 146 0.7× 227 1.6× 45 0.3× 54 0.6× 29 0.3× 32 692
Mehmet Arif İçer 80 0.4× 220 1.5× 48 0.3× 78 0.9× 14 0.2× 21 645
Robert O. Wolf 219 1.1× 107 0.7× 39 0.3× 337 3.7× 54 0.6× 29 658
Manoj Bhaskaran 136 0.7× 264 1.8× 118 0.9× 45 0.5× 44 0.5× 21 654
Ghaffar Muharram 127 0.6× 285 2.0× 46 0.3× 47 0.5× 18 0.2× 19 635
D. Bouchier-Hayes 260 1.3× 124 0.9× 157 1.1× 43 0.5× 19 0.2× 15 668
Märta Knös 70 0.3× 134 0.9× 57 0.4× 28 0.3× 45 0.5× 11 697
Christine Weyman 81 0.4× 151 1.1× 125 0.9× 83 0.9× 15 0.2× 13 558
Chun Wei Li 130 0.6× 151 1.1× 90 0.7× 181 2.0× 15 0.2× 21 572

Countries citing papers authored by William A. Larchian

Since Specialization
Citations

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

Fields of papers citing papers by William A. Larchian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William A. Larchian

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