Christopher Mallard

491 total citations
16 papers, 399 citations indexed

About

Christopher Mallard is a scholar working on Surgery, Transplantation and Genetics. According to data from OpenAlex, Christopher Mallard has authored 16 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 5 papers in Transplantation and 3 papers in Genetics. Recurrent topics in Christopher Mallard's work include Xenotransplantation and immune response (6 papers), Organ and Tissue Transplantation Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Christopher Mallard is often cited by papers focused on Xenotransplantation and immune response (6 papers), Organ and Tissue Transplantation Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Christopher Mallard collaborates with scholars based in United States, United Kingdom and Italy. Christopher Mallard's co-authors include David A. Leonard, David H. Sachs, Curtis L. Cetrulo, Evan A. Farkash, Josef Kurtz, Robert J. Hawley, Aseda Tena, Angelo A. Leto Barone, Mark A. Randolph and Radbeh Torabi and has published in prestigious journals such as Plastic & Reconstructive Surgery, Transplantation and American Journal of Transplantation.

In The Last Decade

Christopher Mallard

14 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Mallard United States 11 275 126 117 74 54 16 399
S. Altmann Germany 10 216 0.8× 31 0.2× 12 0.1× 74 1.0× 12 0.2× 41 352
Shehan Hettiaratchy United States 12 285 1.0× 446 3.5× 18 0.2× 8 0.1× 154 2.9× 17 512
Janet A. Welch United States 11 179 0.7× 16 0.1× 13 0.1× 21 0.3× 10 0.2× 15 306
Abhijit Jagdale United States 12 301 1.1× 19 0.2× 163 1.4× 60 0.8× 51 0.9× 16 327
Wanyu Wang China 5 346 1.3× 19 0.2× 225 1.9× 91 1.2× 10 0.2× 11 400
Bruce Lyons United States 4 203 0.7× 321 2.5× 14 0.1× 29 0.4× 135 2.5× 7 363
Lucía de Miguel–Gómez Spain 14 158 0.6× 9 0.1× 12 0.1× 41 0.6× 120 2.2× 20 413
Mohamed H. Bikhet United States 12 255 0.9× 11 0.1× 146 1.2× 48 0.6× 33 0.6× 20 275
G. Langford United Kingdom 13 444 1.6× 17 0.1× 329 2.8× 148 2.0× 7 0.1× 22 512
Bernard P. Nusbaum United States 11 51 0.2× 10 0.1× 31 0.3× 27 0.4× 12 0.2× 27 342

Countries citing papers authored by Christopher Mallard

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Mallard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Mallard

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

All Works

16 of 16 papers shown
1.
Weisbein, Jacqueline, Douglas P. Beall, Dan Nguyen, et al.. (2025). Safety and initial effectiveness of minimally invasive sacroiliac joint fusion with metal implants using a lateral transiliac approach: a prospective trial. Pain Medicine. 26(12). 918–923.
2.
Mallard, Christopher, et al.. (2019). The Anesthesiologist's Armamentarium: From Recreation to Medication and Back. PubMed. 6(1). 17–26. 4 indexed citations
3.
Ng, Zhi Yang, Ritu Goyal, Christopher Mallard, et al.. (2017). Topical Delivery of Immunosuppression to Prolong Xenogeneic and Allogeneic Split-Thickness Skin Graft Survival. Journal of Burn Care & Research. 39(3). 363–373. 11 indexed citations
4.
Leonard, David A., Christopher Mallard, Radbeh Torabi, et al.. (2017). Skin grafts from genetically modified α-1,3-galactosyltransferase knockout miniature swine: A functional equivalent to allografts. Burns. 43(8). 1717–1724. 14 indexed citations
5.
Shanmugarajah, Kumaran, Harrison Powell, David A. Leonard, et al.. (2016). The Effect of MHC Antigen Matching Between Donors and Recipients on Skin Tolerance of Vascularized Composite Allografts. American Journal of Transplantation. 17(7). 1729–1741. 22 indexed citations
6.
Tena, Aseda, David H. Sachs, Christopher Mallard, et al.. (2016). Prolonged Survival of Pig Skin on Baboons After Administration of Pig Cells Expressing Human CD47. Transplantation. 101(2). 316–321. 74 indexed citations
7.
Barone, Angelo A. Leto, Josef Kurtz, Christopher Mallard, et al.. (2015). Effects of Transient Donor Chimerism on Rejection of MHC-Mismatched Vascularized Composite Allografts in Swine. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2(1). 1–8. 11 indexed citations
8.
Leonard, David A., Kumaran Shanmugarajah, Harrison Powell, et al.. (2015). Abstract 10. Plastic & Reconstructive Surgery. 135. 17–17. 2 indexed citations
9.
Barone, Angelo A. Leto, Evan A. Farkash, Christopher Mallard, et al.. (2014). Genetically modified porcine split-thickness skin grafts as an alternative to allograft for provision of temporary wound coverage: preliminary characterization. Burns. 41(3). 565–574. 35 indexed citations
10.
Tena, Aseda, David A. Leonard, J.R. Dobrinsky, et al.. (2014). Transgenic Expression of Human CD47 Markedly Increases Engraftment in a Murine Model of Pig-to-Human Hematopoietic Cell Transplantation. American Journal of Transplantation. 14(12). 2713–2722. 63 indexed citations
11.
Leonard, David A., Angelo A. Leto Barone, Christopher Mallard, et al.. (2014). Lack of Cross-Sensitization Between α-1,3-Galactosyltransferase Knockout Porcine and Allogeneic Skin Grafts Permits Serial Grafting. Transplantation. 97(12). 1209–1215. 33 indexed citations
12.
Leonard, David A., Josef Kurtz, Christopher Mallard, et al.. (2014). Vascularized Composite Allograft Tolerance Across MHC Barriers in a Large Animal Model. American Journal of Transplantation. 14(2). 343–355. 78 indexed citations
13.
Tena, Aseda, David A. Leonard, Masayuki Tasaki, et al.. (2014). Initial Evidence for Functional Immune Modulation in Primate Recipients of Porcine Skin Grafts Following Conditioning With Human CD47 Transgenic Pig Hematopoietic Stem Cells.. Transplantation. 98. 417–417. 1 indexed citations
14.
Barone, Angelo A. Leto, David A. Leonard, Radbeh Torabi, et al.. (2012). The gracilis myocutaneous free flap in swine: An advantageous preclinical model for vascularized composite allograft transplantation research. Microsurgery. 33(1). 51–55. 30 indexed citations
15.
Mallard, Christopher, et al.. (2007). Pharmacopées et préparations pour application cutanée. Annales de Dermatologie et de Vénéréologie. 134(3). 40–45.
16.
Kovner, Christine, et al.. (1997). The application of pen-based computer technology to home health care.. PubMed. 15(5). 237–44. 21 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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