William A. Larchian

799 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 Immunotherapy and Immune Responses (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 Immunotherapy and Immune Responses (3 papers). William A. Larchian collaborates with scholars based in United States, China and Hong Kong. William A. Larchian's co-authors include Warren D.W. Heston, Murray F. Brennan, Janice Gabrilove, Robert S. Warren, Herbert F. Oettgen, Malayappa Jeevanandam, H. Fletcher Starnes, Amit R. Patel, Eddie Chan and William R. Fair 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William A. Larchian United States 11 202 143 138 91 89 19 596
Hiroko Fujii Japan 16 79 0.4× 159 1.1× 125 0.9× 37 0.4× 23 0.3× 39 678
D. A. Grant United Kingdom 15 295 1.5× 181 1.3× 22 0.2× 30 0.3× 53 0.6× 47 655
György Lázár Hungary 13 236 1.2× 238 1.7× 149 1.1× 47 0.5× 12 0.1× 70 768
Bo Han China 19 173 0.9× 247 1.7× 24 0.2× 50 0.5× 21 0.2× 48 731
D. Kaiser Germany 13 98 0.5× 235 1.6× 156 1.1× 65 0.7× 32 0.4× 60 762
Shanwen Chen China 20 106 0.5× 585 4.1× 114 0.8× 47 0.5× 26 0.3× 36 993
Kyosuke Hatsushika Japan 16 74 0.4× 213 1.5× 224 1.6× 272 3.0× 23 0.3× 23 924
Minako Suzuki Japan 11 132 0.7× 115 0.8× 77 0.6× 28 0.3× 9 0.1× 29 451
Märta Knös Germany 7 70 0.3× 134 0.9× 57 0.4× 28 0.3× 45 0.5× 11 697
N. Kubota Japan 12 50 0.2× 314 2.2× 328 2.4× 84 0.9× 29 0.3× 15 997

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

19 of 19 papers shown
1.
Ponsky, Lee, Edward E. Cherullo, William A. Larchian, et al.. (2018). Evaluating the impact of the genitourinary multidisciplinary tumour board: Should every cancer patient be discussed as standard of care?. Canadian Urological Association Journal. 12(9). E403–8. 13 indexed citations
2.
Patel, Amit R., et al.. (2012). Sunitinib Malate Provides Activity Against Murine Bladder Tumor Growth and Invasion in a Preclinical Orthotopic Model. Urology. 80(3). 736.e1–736.e5. 10 indexed citations
3.
Chan, Eddie, Amit R. Patel, William A. Larchian, & Warren D.W. Heston. (2011). In Vivo Targeted Contrast Enhanced Micro-Ultrasound to Measure Intratumor Perfusion and Vascular Endothelial Growth Factor Receptor 2 Expression in a Mouse Orthotopic Bladder Cancer Model. The Journal of Urology. 185(6). 2359–2365. 9 indexed citations
4.
Larchian, William A., Armine K. Smith, John B. Klein, et al.. (2009). TARGETED CONTRAST ULTRASOUND DETECTION AND QUANTIFICATION OF VASCULAR ENDOTHELIAL GROWTH FACTOR RECEPTORS IN BLADDER CANCER. The Journal of Urology. 181(4S). 305–305. 1 indexed citations
5.
Patel, Amit R., et al.. (2009). Transabdominal Micro-ultrasound Imaging of Bladder Cancer in a Mouse Model: A Validation Study. Urology. 75(4). 799–804. 15 indexed citations
6.
Chan, Eddie, Amit R. Patel, Warren D.W. Heston, & William A. Larchian. (2009). Mouse orthotopic models for bladder cancer research. British Journal of Urology. 104(9). 1286–1291. 64 indexed citations
7.
Chan, Eddie, Amit R. Patel, Armine K. Smith, et al.. (2009). Optimizing Orthotopic Bladder Tumor Implantation in a Syngeneic Mouse Model. The Journal of Urology. 182(6). 2926–2931. 34 indexed citations
8.
Patel, Amit R., et al.. (2009). QUANTIFICATION OF SUNITINIB'S ANTITUMOR EFFECTS IN A LOCALIZED ORTHOTOPIC BLADDER CANCER MODEL. The Journal of Urology. 181(4S). 409–409. 3 indexed citations
9.
Patel, Amit R., William A. Larchian, & Warren D.W. Heston. (2008). MICRO-ULTRASOUND IMAGING FOR BLADDER CANCER IN A MURINE MODEL. The Journal of Urology. 179(4S). 368–368. 1 indexed citations
10.
Fukuyama, Ryuichi, et al.. (2006). 622: Intravesical Interleukin-12 Gene Therapy in an Orthotopic Bladder Cancer Model. The Journal of Urology. 175(4S). 200–201. 5 indexed citations
11.
Fukuyama, Ryuichi, Toru Nishiyama, Muzaffer Cicek, et al.. (2005). Novel enhanced lung-colonizing variant of murine MBT-2 bladder cancer cells. Urology. 66(3). 676–681. 4 indexed citations
12.
Fukuyama, Ryuichi, et al.. (2005). Intravesical interleukin-12 gene therapy in an orthotopic bladder cancer model. Urology. 66(2). 461–466. 47 indexed citations
13.
Feleppa, Ernest J., Andrew Kalisz, William A. Larchian, et al.. (2002). 2- and 3-D differentiation of cancerous from benign prostate tissue for diagnosis, monitoring, and planning based on spectrum analysis. 2. 1131–1135. 4 indexed citations
14.
Horiguchi, Yutaka, et al.. (2000). Intravesical liposome-mediated interleukin-2 gene therapy in orthotopic murine bladder cancer model. Gene Therapy. 7(10). 844–851. 49 indexed citations
15.
Larchian, William A., Yutaka Horiguchi, Smita K. Nair, et al.. (2000). Effectiveness of combined interleukin 2 and B7.1 vaccination strategy is dependent on the sequence and order: a liposome-mediated gene therapy treatment for bladder cancer.. PubMed. 6(7). 2913–20. 23 indexed citations
16.
Yancey, Donna, Hesed Padilla‐Nash, William Nash, et al.. (1998). Isolation and characterization of a novel human bladder cancer cell line: BK10. In Vitro Cellular & Developmental Biology - Animal. 34(7). 537–544. 4 indexed citations
17.
Berner, Yitshal, et al.. (1990). Low Plasma Carnitine in Patients on Prolonged Total Parenteral Nutrition: Association with Low Plasma Lysine. Journal of Parenteral and Enteral Nutrition. 14(3). 255–258. 15 indexed citations
18.
Kemeny, Nancy E., et al.. (1990). A phase II trial of recombinant tumor necrosis factor in patients with advanced colorectal carcinoma. Cancer. 66(4). 659–663. 56 indexed citations
19.
Starnes, H. Fletcher, Robert S. Warren, Malayappa Jeevanandam, et al.. (1988). Tumor necrosis factor and the acute metabolic response to tissue injury in man.. Journal of Clinical Investigation. 82(4). 1321–1325. 239 indexed citations

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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