Frank Wang

9.0k total citations · 1 hit paper
112 papers, 4.7k citations indexed

About

Frank Wang is a scholar working on Surgery, Dermatology and Oncology. According to data from OpenAlex, Frank Wang has authored 112 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 23 papers in Dermatology and 22 papers in Oncology. Recurrent topics in Frank Wang's work include Dermatologic Treatments and Research (10 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Skin Protection and Aging (6 papers). Frank Wang is often cited by papers focused on Dermatologic Treatments and Research (10 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Skin Protection and Aging (6 papers). Frank Wang collaborates with scholars based in United States, Australia and Taiwan. Frank Wang's co-authors include John J. Voorhees, James G. Krueger, Edmund Lee, Francesca Chamian, Sewon Kang, Gary J. Fisher, Judith Oestreicher, William L. Trepicchio, Madhav V. Dhodapkar and Debra D. Pittman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Frank Wang

105 papers receiving 4.6k citations

Hit Papers

Increased Expression of Interleukin 23 p19 and p40 in Les... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Wang United States 35 1.3k 1.3k 945 944 632 112 4.7k
Michael A. Simpson United Kingdom 44 859 0.7× 587 0.5× 587 0.6× 2.7k 2.9× 339 0.5× 161 6.3k
Yvonne Dombrowski Germany 26 2.0k 1.6× 430 0.3× 1.4k 1.5× 2.3k 2.5× 598 0.9× 41 7.2k
Yasuyuki Fujita Japan 33 666 0.5× 333 0.3× 543 0.6× 1.2k 1.3× 475 0.8× 178 4.5k
Christopher I. Amos United States 42 1.0k 0.8× 401 0.3× 869 0.9× 2.2k 2.3× 510 0.8× 101 6.1k
Clelia Miracco Italy 35 712 0.6× 377 0.3× 1.4k 1.5× 1.3k 1.4× 585 0.9× 201 4.5k
Onno J. de Boer Netherlands 38 2.6k 2.0× 259 0.2× 948 1.0× 1.2k 1.3× 768 1.2× 132 5.3k
Gaetano Magro Italy 39 506 0.4× 768 0.6× 678 0.7× 1.5k 1.6× 1.0k 1.6× 300 5.7k
Marc Beyer Germany 38 3.4k 2.6× 459 0.4× 1.2k 1.3× 1.8k 1.9× 300 0.5× 129 6.2k
Juan F. Garcı́a Spain 42 1.1k 0.9× 437 0.3× 2.0k 2.1× 1.3k 1.4× 423 0.7× 174 5.6k
Claudia Wickenhauser Germany 37 1.1k 0.8× 214 0.2× 1.1k 1.2× 1.4k 1.5× 338 0.5× 199 4.3k

Countries citing papers authored by Frank Wang

Since Specialization
Citations

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

Fields of papers citing papers by Frank Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Wang. A scholar is included among the top collaborators of Frank Wang 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 Frank Wang. Frank Wang 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.
Lo, Calvin Ka-Fung, et al.. (2024). Clinical significance of cefazolin inoculum effect in serious MSSA infections: a systematic review. JAC-Antimicrobial Resistance. 6(3). dlae069–dlae069. 5 indexed citations
5.
Wang, Frank, et al.. (2023). A case of rare gastric metastasis of invasive lobular carcinoma of the breast. Journal of Surgical Case Reports. 2023(3).
7.
Chubb, Heather, et al.. (2021). Negative perceptions and emotional impact of striae gravidarum among pregnant women. International Journal of Women’s Dermatology. 7(5). 685–691. 6 indexed citations
8.
Wang, Frank, et al.. (2015). Ascending and Aortic Arch Thrombus: Cause of Myocardial Infarction and Lower Extremity Ischemia. Journal of Medical Cases. 6(4). 156–158. 2 indexed citations
9.
Dantes, Raymund, Erin Epson, Samuel R. Dominguez, et al.. (2015). Investigation of a cluster of Clostridium difficile infections in a pediatric oncology setting. American Journal of Infection Control. 44(2). 138–145. 8 indexed citations
10.
Wang, Frank & Esther Isabelle Wilder. (2015). Numeracy Infusion Course for Higher Education (NICHE), 1: Teaching Faculty How to Improve Students' Quantitative Reasoning Skills through Cognitive Illusions. SHILAP Revista de lepidopterología. 8(2). 5 indexed citations
11.
Garner, Andrew P., Joseph M. Gozgit, Rana Anjum, et al.. (2014). Ponatinib Inhibits Polyclonal Drug-Resistant KIT Oncoproteins and Shows Therapeutic Potential in Heavily Pretreated Gastrointestinal Stromal Tumor (GIST) Patients. Clinical Cancer Research. 20(22). 5745–5755. 123 indexed citations
12.
Gozgit, Joseph M., Matthew J. Wong, Lauren Moran, et al.. (2012). Ponatinib (AP24534), a Multitargeted Pan-FGFR Inhibitor with Activity in Multiple FGFR-Amplified or Mutated Cancer Models. Molecular Cancer Therapeutics. 11(3). 690–699. 273 indexed citations
13.
Squillace, Rachel M., David F. Miller, Scott Wardwell, et al.. (2011). Antitumor Activity of Ridaforolimus and Potential Cell-Cycle Determinants of Sensitivity in Sarcoma and Endometrial Cancer Models. Molecular Cancer Therapeutics. 10(10). 1959–1968. 40 indexed citations
14.
Rivera, Victor M., Rachel M. Squillace, David F. Miller, et al.. (2011). Ridaforolimus (AP23573; MK-8669), a Potent mTOR Inhibitor, Has Broad Antitumor Activity and Can Be Optimally Administered Using Intermittent Dosing Regimens. Molecular Cancer Therapeutics. 10(6). 1059–1071. 87 indexed citations
15.
Tang, Tracy, Jean Y. Tang, Dongwei Li, et al.. (2011). Targeting Superficial or Nodular Basal Cell Carcinoma with Topically Formulated Small Molecule Inhibitor of Smoothened. Clinical Cancer Research. 17(10). 3378–3387. 53 indexed citations
16.
Kuo, I-Ming, Shang‐Yu Wang, Ming‐Chin Yu, et al.. (2010). Dubin-Johnson Syndrome with Cholelithiasis: Report of a Case. Formosan Journal of Surgery. 43(2). 99–103. 1 indexed citations
17.
Kuo, I-Ming, Frank Wang, Keng-Hao Liu, & Yi-Yin Jan. (2009). Post-gastrectomy acute pancreatitis in a patient with gastric carcinoma and pancreas divisum. World Journal of Gastroenterology. 15(36). 4596–4596. 5 indexed citations
18.
Wang, Frank, Luis A. Garza, Soyun Cho, et al.. (2008). Effect of Increased Pigmentation on the Antifibrotic Response of Human Skin to UV-A1 Phototherapy. Archives of Dermatology. 144(7). 851–8. 44 indexed citations
19.
Wang, Frank, Luis A. Garza, Sewon Kang, et al.. (2007). In Vivo Stimulation of De Novo Collagen Production Caused by Cross-linked Hyaluronic Acid Dermal Filler Injections in Photodamaged Human Skin. Archives of Dermatology. 143(2). 155–63. 357 indexed citations
20.
Lee, Edmund, William L. Trepicchio, Judith Oestreicher, et al.. (2004). Increased Expression of Interleukin 23 p19 and p40 in Lesional Skin of Patients with Psoriasis Vulgaris. The Journal of Experimental Medicine. 199(1). 125–130. 738 indexed citations breakdown →

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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