Charles Hwang

1.3k total citations · 1 hit paper
31 papers, 683 citations indexed

About

Charles Hwang is a scholar working on Rheumatology, Surgery and Molecular Biology. According to data from OpenAlex, Charles Hwang has authored 31 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rheumatology, 12 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Charles Hwang's work include Heterotopic Ossification and Related Conditions (13 papers), Genetic Syndromes and Imprinting (4 papers) and Parathyroid Disorders and Treatments (4 papers). Charles Hwang is often cited by papers focused on Heterotopic Ossification and Related Conditions (13 papers), Genetic Syndromes and Imprinting (4 papers) and Parathyroid Disorders and Treatments (4 papers). Charles Hwang collaborates with scholars based in United States, Netherlands and Germany. Charles Hwang's co-authors include Benjamin R. Freedman, Brian P. Hibler, Simon G. Talbot, Simon Matoori, David Mooney, Benjamin Lévi, Chase A. Pagani, Amanda K. Huber, Simone Marini and Shawn Loder and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Annals of Surgery.

In The Last Decade

Charles Hwang

30 papers receiving 674 citations

Hit Papers

Breakthrough treatments for accelerated wound healing 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Hwang United States 13 193 179 163 144 98 31 683
Adrian Băican Romania 9 193 1.0× 274 1.5× 228 1.4× 129 0.9× 28 0.3× 32 1.2k
Xiaochuan Wu China 11 97 0.5× 80 0.4× 181 1.1× 86 0.6× 37 0.4× 56 625
Zhuang Cui China 18 345 1.8× 63 0.4× 251 1.5× 228 1.6× 32 0.3× 40 841
Corina Baican Romania 6 91 0.5× 271 1.5× 214 1.3× 126 0.9× 20 0.2× 11 1.0k
Huiyong Shen China 19 178 0.9× 43 0.2× 280 1.7× 239 1.7× 42 0.4× 42 984
Zachary J Collier United States 10 64 0.3× 67 0.4× 202 1.2× 95 0.7× 40 0.4× 42 617
Abelardo Medina Canada 12 59 0.3× 343 1.9× 162 1.0× 164 1.1× 44 0.4× 29 715
Jianqiao Hong China 17 177 0.9× 43 0.2× 319 2.0× 236 1.6× 51 0.5× 35 924
J. Farjanel France 16 162 0.8× 86 0.5× 260 1.6× 58 0.4× 118 1.2× 38 750
Amanda Murphy Canada 16 40 0.2× 193 1.1× 103 0.6× 252 1.8× 47 0.5× 44 851

Countries citing papers authored by Charles Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Charles Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Hwang. A scholar is included among the top collaborators of Charles Hwang 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 Charles Hwang. Charles Hwang 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.
Yang, Jingwen, Katsuhiko Sekimata, Charles Hwang, et al.. (2025). A new BMP type 1 receptor kinase inhibitor for safe and efficient oral treatment to prevent genetically induced heterotopic ossification in mice. Bone. 199. 117565–117565. 2 indexed citations
2.
Hwang, Charles, Leslie E. Cohen, Jonathan M. Winograd, et al.. (2024). 95. Reduced Postoperative Chronic And Neuropathic Pain With Targeted Nipple Areola Complex Reinnervation In Patients Undergoing Gender Affirming Mastectomy. Plastic & Reconstructive Surgery Global Open. 12(S4). 63–63. 1 indexed citations
3.
Johnston, Benjamin R., et al.. (2024). Pain Remission Following Delayed Targeted Muscle Reinnervation in Amputees. Microsurgery. 44(8). e31258–e31258. 2 indexed citations
4.
Hwang, Charles, et al.. (2024). Predictive Value of Preoperative Pain Sketches in Lower Extremity Amputees Undergoing Secondary Targeted Muscle Reinnervation for Treatment of Neuropathic Pain. Journal of the American College of Surgeons. 239(6). 588–599. 3 indexed citations
5.
Freedman, Benjamin R., Charles Hwang, Simon G. Talbot, et al.. (2023). Breakthrough treatments for accelerated wound healing. Science Advances. 9(20). eade7007–eade7007. 243 indexed citations breakdown →
6.
Nuzzi, Laura C., et al.. (2023). Reduction Mammaplasty in Younger Patients: An Evidence-Based Approach to Treatment. PubMed. 43(4). 203–209. 3 indexed citations
7.
Nunez, Johanna, et al.. (2023). Neutrophil and NETosis Modulation in Traumatic Heterotopic Ossification. Annals of Surgery. 278(6). e1289–e1298. 11 indexed citations
8.
Hwang, Charles, Selwyn S. Jayakar, Bryan Black, et al.. (2023). Biology and pathophysiology of symptomatic neuromas. Pain. 165(3). 550–564. 23 indexed citations
9.
Hwang, Charles, et al.. (2023). Posttraumatic Penile Replantation with Minimal Skin Necrosis. Plastic & Reconstructive Surgery Global Open. 11(8). e5205–e5205.
10.
Hwang, Charles, Chase A. Pagani, Johanna Nunez, et al.. (2022). Contemporary perspectives on heterotopic ossification. JCI Insight. 7(14). 49 indexed citations
11.
Patel, Nicole, Johanna Nunez, Michael Sorkin, et al.. (2022). Macrophage TGF-β signaling is critical for wound healing with heterotopic ossification after trauma. JCI Insight. 7(20). 25 indexed citations
12.
Qin, Qizhi, Mario Gomez-Salazar, Chase A. Pagani, et al.. (2022). Neuron-to-vessel signaling is a required feature of aberrant stem cell commitment after soft tissue trauma. Bone Research. 10(1). 43–43. 25 indexed citations
14.
Hwang, Charles, Chase A. Pagani, Nanditha Das, et al.. (2020). Activin A does not drive post-traumatic heterotopic ossification. Bone. 138. 115473–115473. 22 indexed citations
15.
Hwang, Charles, Simone Marini, Amanda K. Huber, et al.. (2019). Mesenchymal VEGFA induces aberrant differentiation in heterotopic ossification. Bone Research. 7(1). 36–36. 45 indexed citations
16.
Cron, David C., Charles Hwang, Hsou Mei Hu, et al.. (2018). A statewide comparison of opioid prescribing in teaching versus nonteaching hospitals. Surgery. 165(4). 825–831. 18 indexed citations
17.
Loder, Shawn, Shailesh Agarwal, Michael T. Chung, et al.. (2018). Characterizing the Circulating Cell Populations in Traumatic Heterotopic Ossification. American Journal Of Pathology. 188(11). 2464–2473. 28 indexed citations
18.
Hwang, Charles, et al.. (2018). “Development of an Academic Surgical Student Program for Enhancing Student-Faculty Engagement”. Journal of surgical education. 76(3). 604–606. 8 indexed citations
19.
Agarwal, Shailesh, Shawn Loder, David Cholok, et al.. (2016). Local and Circulating Endothelial Cells Undergo Endothelial to Mesenchymal Transition (EndMT) in Response to Musculoskeletal Injury. Scientific Reports. 6(1). 32514–32514. 25 indexed citations
20.
Agarwal, Shailesh, William R. Lloyd, Shawn Loder, et al.. (2016). Combined reflectance and Raman spectroscopy to assess degree of in vivo angiogenesis after tissue injury. Journal of Surgical Research. 209. 174–177. 2 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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