Michael Pan

1.1k total citations
22 papers, 889 citations indexed

About

Michael Pan is a scholar working on Parasitology, Immunology and Molecular Biology. According to data from OpenAlex, Michael Pan has authored 22 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Parasitology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Michael Pan's work include Leptospirosis research and findings (6 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (2 papers). Michael Pan is often cited by papers focused on Leptospirosis research and findings (6 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (2 papers). Michael Pan collaborates with scholars based in United States, Taiwan and France. Michael Pan's co-authors include Chih‐Wei Yang, Ming‐Shiou Wu, J. Levitt, Sebastian Bernardo, Alain Vandewalle, Ya‐Chung Tian, Ming‐Kung Wu, Min Chen, Tse‐Hua Tan and Yvonne M. Saenger and has published in prestigious journals such as Journal of Biological Chemistry, Kidney International and Journal of Clinical Microbiology.

In The Last Decade

Michael Pan

20 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pan United States 16 425 223 146 119 105 22 889
Marina N. Torrero United States 15 206 0.5× 210 0.9× 151 1.0× 212 1.8× 28 0.3× 24 688
Ricardo Riccio Oliveira Brazil 18 458 1.1× 113 0.5× 169 1.2× 200 1.7× 98 0.9× 43 961
Barbara L. Doughty United States 20 769 1.8× 183 0.8× 175 1.2× 559 4.7× 245 2.3× 46 1.5k
Beth L. Hahn United States 18 141 0.3× 266 1.2× 444 3.0× 248 2.1× 27 0.3× 44 951
Angela van Diepen Netherlands 19 309 0.7× 162 0.7× 297 2.0× 211 1.8× 112 1.1× 52 936
J. Claire Hoving South Africa 20 202 0.5× 382 1.7× 183 1.3× 523 4.4× 92 0.9× 42 1.2k
Carlos Muñoz Spain 16 138 0.3× 324 1.5× 91 0.6× 186 1.6× 19 0.2× 36 742
Pongsri Tongtawe Thailand 22 135 0.3× 221 1.0× 397 2.7× 441 3.7× 49 0.5× 55 1.4k
Luciana Santos Cardoso Brazil 14 393 0.9× 82 0.4× 150 1.0× 182 1.5× 86 0.8× 37 757
Ramon M. Eichenberger Switzerland 21 781 1.8× 284 1.3× 389 2.7× 139 1.2× 218 2.1× 44 1.3k

Countries citing papers authored by Michael Pan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Pan. 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 Michael Pan. The network helps show where Michael Pan may publish in the future.

Co-authorship network of co-authors of Michael Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pan. A scholar is included among the top collaborators of Michael Pan 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 Michael Pan. Michael Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Ying, Rui Shen, Min Jin, et al.. (2024). Impact of mutations in carbohydrate binding sites of tandem-repeat type galectin from Takifugu obscurus on its antimicrobial activity. Fish & Shellfish Immunology. 155. 110018–110018.
2.
Pan, Michael, Vladimir Lakhter, Vallerie V. McLaughlin, et al.. (2023). Anatomical Variations in Pulmonary Arterial Branches in Patients Undergoing Evaluation for Chronic Thromboembolic Pulmonary Hypertension. Journal of the Society for Cardiovascular Angiography & Interventions. 2(5). 101108–101108. 3 indexed citations
3.
Abreu, Andre Luis, Monty Aghazadeh, Michael Pan, et al.. (2015). PD31-04 ROBOTIC SALVAGE CYSTECTOMY IS SAFE: MULTI-INSTITUTIONAL PERIOPERATIVE OUTCOMES. The Journal of Urology. 193(4S).
4.
Wang, Xiaojie, et al.. (2015). Skin simulators for dermatological procedures. Dermatology Online Journal. 21(11). 10 indexed citations
5.
Bernardo, Sebastian, Марина Москаленко, Michael Pan, et al.. (2014). Defining the role of CD2 in disease progression and overall survival among patients with completely resected stage-II to -III cutaneous melanoma. Journal of the American Academy of Dermatology. 70(6). 1036–1044.e3. 15 indexed citations
6.
Torbeck, Richard L., et al.. (2014). Cantharidin: a comprehensive review of the clinical literature. Dermatology Online Journal. 20(6). 40 indexed citations
7.
Kaufman, Howard L., Michael Pan, Sebastian Bernardo, et al.. (2013). Oncolytic virus therapy for cancer. PubMed. 2. 31–31. 52 indexed citations
8.
Pan, Michael, et al.. (2013). Urea: a comprehensive review of the clinical literature. Dermatology Online Journal. 19(11). 20392–20392. 83 indexed citations
9.
Sivendran, Shanthi, Michael Pan, Howard L. Kaufman, & Yvonne M. Saenger. (2010). Herpes simplex virus oncolytic vaccine therapy in melanoma. Expert Opinion on Biological Therapy. 10(7). 1145–1153. 25 indexed citations
10.
Chen, Min, et al.. (2007). Caspase-9-induced Mitochondrial Disruption through Cleavage of Anti-apoptotic BCL-2 Family Members. Journal of Biological Chemistry. 282(46). 33888–33895. 93 indexed citations
11.
Chang, Cheng‐Chieh, Kang‐Hua Chen, Ya‐Chung Tian, et al.. (2006). Upregulation of chemokine CXCL1/KC by leptospiral membrane lipoprotein preparation in renal tubule epithelial cells. Kidney International. 69(10). 1814–1822. 32 indexed citations
12.
Yang, Chih‐Wei, et al.. (2006). Toll-like receptor 2 mediates early inflammation by leptospiral outer membrane proteins in proximal tubule cells. Kidney International. 69(5). 815–822. 101 indexed citations
13.
Palaniappan, Raghavan U. M., Yung‐Fu Chang, Michael Pan, et al.. (2004). Evaluation of lig-based conventional and real time PCR for the detection of pathogenic leptospires. Molecular and Cellular Probes. 19(2). 111–117. 93 indexed citations
14.
Wu, Mai-Szu, Chunlan Yang, Michael Pan, Cheng‐Chieh Chang, & Yen-Chang Chen. (2004). Reduced renal Na+-K+-Cl- co-transporter activity and inhibited NKCC2 mRNA expression by Leptospira shermani: from bed-side to bench. Nephrology Dialysis Transplantation. 19(10). 2472–2479. 46 indexed citations
15.
Yeh, Kuang‐Sheng, et al.. (2003). Protective Effects of Oral Microencapsulated Mycoplasma hyopneumoniae Vaccine Prepared by Co-Spray Drying Method.. Journal of Veterinary Medical Science. 65(1). 69–74. 33 indexed citations
16.
Yang, Chih‐Wei, Ming‐Shiou Wu, & Michael Pan. (2001). Leptospirosis renal disease. Nephrology Dialysis Transplantation. 16(suppl 5). 73–77. 129 indexed citations
17.
Chang, Wen-Ming, et al.. (1997). Prevalence of Lawsonia intracellularis in swine herds in Taiwan. Veterinary Record. 141(4). 103–104. 15 indexed citations
18.
Lin, Cheng-Tao, et al.. (1996). Canine Infectious Cyclic Thrombocytopenia Found in Taiwan.. Journal of Veterinary Medical Science. 58(5). 473–476. 25 indexed citations
19.
Chang, Wen-Ming, et al.. (1996). Antigenic types of canine parvoviruses prevailing in Taiwan. Veterinary Record. 138(18). 447–447. 16 indexed citations
20.
Pan, Michael, et al.. (1996). Specific amplification of Ehrlichia platys DNA from blood specimens by two-step PCR. Journal of Clinical Microbiology. 34(12). 3142–3146. 32 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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