David Woodland

1.2k total citations
16 papers, 861 citations indexed

About

David Woodland is a scholar working on Surgery, Transplantation and Hepatology. According to data from OpenAlex, David Woodland has authored 16 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Transplantation and 4 papers in Hepatology. Recurrent topics in David Woodland's work include Renal Transplantation Outcomes and Treatments (5 papers), Liver Disease and Transplantation (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). David Woodland is often cited by papers focused on Renal Transplantation Outcomes and Treatments (5 papers), Liver Disease and Transplantation (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). David Woodland collaborates with scholars based in United States, Netherlands and Italy. David Woodland's co-authors include Mark A. Hardy, Abbas Rana, Karim J. Halazun, Robert S. Brown, Jean C. Emond, Piotr Witkowski, Lloyd E. Ratner, Benjamin Samstein, James V. Guarrera and Mark J. Russo and has published in prestigious journals such as Circulation, Annals of Surgery and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

David Woodland

15 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Woodland United States 9 558 479 267 233 161 16 861
Rafael Soares Pinheiro Brazil 15 415 0.7× 430 0.9× 195 0.7× 223 1.0× 90 0.6× 76 766
Hideki Ijichi Japan 20 864 1.5× 823 1.7× 311 1.2× 174 0.7× 49 0.3× 45 1.1k
Raffaele Dalla Valle Italy 20 549 1.0× 193 0.4× 142 0.5× 241 1.0× 84 0.5× 63 843
Masato Fujiki United States 21 898 1.6× 860 1.8× 361 1.4× 112 0.5× 175 1.1× 104 1.4k
Marcelo Facciuto United States 21 754 1.4× 905 1.9× 402 1.5× 155 0.7× 65 0.4× 67 1.4k
Maria B. Majella Doyle United States 17 786 1.4× 855 1.8× 374 1.4× 285 1.2× 53 0.3× 61 1.3k
Benno Cardini Austria 16 498 0.9× 260 0.5× 110 0.4× 116 0.5× 139 0.9× 61 724
Tun Jie United States 17 1.0k 1.8× 189 0.4× 130 0.5× 251 1.1× 96 0.6× 47 1.2k
F.-R. Pruvot France 16 555 1.0× 504 1.1× 429 1.6× 349 1.5× 56 0.3× 38 1.1k
Jean Bernard Otte Belgium 18 747 1.3× 574 1.2× 309 1.2× 163 0.7× 62 0.4× 28 1.2k

Countries citing papers authored by David Woodland

Since Specialization
Citations

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

Fields of papers citing papers by David Woodland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Woodland

This figure shows the co-authorship network connecting the top 25 collaborators of David Woodland. A scholar is included among the top collaborators of David Woodland 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 David Woodland. David Woodland 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.
Connelly, Christopher, David Woodland, C. Kristian Enestvedt, et al.. (2025). Transplant Referral and Long-Term Kidney Allograft Survival for Black Patients: Single-Center Study. Journal of the American College of Surgeons. 241(1). 39–47.
2.
Scott, David L., Angelo de Mattos, Shehzad Rehman, et al.. (2021). Long-standing donor diabetes and pathologic findings are associated with shorter allograft survival in recipients of kidney transplants from diabetic donors. Modern Pathology. 35(1). 128–134. 1 indexed citations
3.
Jiang, Da David, Kayvan Roayaie, David Woodland, Susan L. Orloff, & David L. Scott. (2020). Survival and renal function after liver transplantation alone in patients meeting the new United Network for Organ Sharing simultaneous liver‐kidney criteria. Clinical Transplantation. 34(10). e14020–e14020. 8 indexed citations
4.
Roberts, Daniel A., Nicole K. Andeen, David Woodland, et al.. (2020). De novo thrombotic microangiopathy in two kidney transplant recipients from the same deceased donor: A case series. Clinical Transplantation. 34(7). e13885–e13885. 5 indexed citations
5.
Kato, Yojiro, Joshua Weiner, David Woodland, et al.. (2020). Transient-mixed Chimerism With Nonmyeloablative Conditioning Does Not Induce Liver Allograft Tolerance in Nonhuman Primates. Transplantation. 104(8). 1580–1590. 13 indexed citations
6.
Stern, Jeffrey, Sigal B. Kofman, David Woodland, et al.. (2019). Characterization, biology, and expansion of regulatory T cells in the Cynomolgus macaque for preclinical studies. American Journal of Transplantation. 19(8). 2186–2198. 8 indexed citations
7.
Woodland, David, et al.. (2018). Routine chest X-ray is unnecessary after ultrasound-guided central venous line placement in the operating room. Journal of Critical Care. 46. 13–16. 14 indexed citations
8.
Sondermeijer, Hugo, Piotr Witkowski, David Woodland, et al.. (2016). Optimization of alginate purification using polyvinylidene difluoride membrane filtration: Effects on immunogenicity and biocompatibility of three-dimensional alginate scaffolds. Journal of Biomaterials Applications. 31(4). 510–520. 26 indexed citations
9.
Woodland, David, et al.. (2016). Short-term high-fat feeding induces islet macrophage infiltration and β-cell replication independently of insulin resistance in mice. American Journal of Physiology-Endocrinology and Metabolism. 311(4). E763–E771. 8 indexed citations
10.
Witkowski, Piotr, Hugo Sondermeijer, Mark A. Hardy, et al.. (2009). Islet Grafting and Imaging in a Bioengineered Intramuscular Space. Transplantation. 88(9). 1065–1074. 36 indexed citations
11.
Halazun, Karim J., Mark A. Hardy, Abbas Rana, et al.. (2009). Negative Impact of Neutrophil-Lymphocyte Ratio on Outcome After Liver Transplantation for Hepatocellular Carcinoma. Annals of Surgery. 250(1). 141–151. 320 indexed citations
12.
Rana, Abbas, Mark A. Hardy, Karim J. Halazun, et al.. (2008). Survival Outcomes Following Liver Transplantation (SOFT) Score: A Novel Method to Predict Patient Survival Following Liver Transplantation. American Journal of Transplantation. 8(12). 2537–2546. 326 indexed citations
13.
Rana, Abbas, Patricia Sylla, David Woodland, & Daniel L. Feingold. (2008). A Case of Portal Venous Gas After Extracorporeal Shockwave Lithotripsy and Obstructive Pyelonephritis. Urology. 71(3). 546.e5–546.e7. 8 indexed citations
14.
Rana, Abbas, Mark J. Russo, Karim J. Halazun, et al.. (2008). The Combined Organ Effect. Annals of Surgery. 248(5). 871–879. 83 indexed citations
15.
Sondermeijer, Hugo, Fiona See, Tetsunori Seki, et al.. (2008). Abstract 1419: Biocompatible 3-Dimensional RGD-Modified Alginate Scaffold Designed to Enhance Cell Transplantation to Infarcted Myocardium. Circulation. 118(suppl_18). 2 indexed citations
16.
Brown, R. J. C., et al.. (1979). Pressure and temperature dependences of 35Cl nuclear quadrupole resonances in p-chlorophenol. Journal of the Chemical Society Faraday Transactions 2 Molecular and Chemical Physics. 75. 1050–1050. 3 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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