William M. Baldwin

11.0k total citations
245 papers, 6.4k citations indexed

About

William M. Baldwin is a scholar working on Immunology, Surgery and Transplantation. According to data from OpenAlex, William M. Baldwin has authored 245 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Immunology, 106 papers in Surgery and 92 papers in Transplantation. Recurrent topics in William M. Baldwin's work include Renal Transplantation Outcomes and Treatments (88 papers), Transplantation: Methods and Outcomes (58 papers) and Complement system in diseases (51 papers). William M. Baldwin is often cited by papers focused on Renal Transplantation Outcomes and Treatments (88 papers), Transplantation: Methods and Outcomes (58 papers) and Complement system in diseases (51 papers). William M. Baldwin collaborates with scholars based in United States, Netherlands and Japan. William M. Baldwin's co-authors include Robert L. Fairchild, B Wa̧sowska, Fred Sanfilippo, Karen Fox-Talbot, Craig N. Morrell, Anna Valujskikh, E. René Rodríguez, Kazunori Murata, Ralph H. Hruban and Nina Dvorina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

William M. Baldwin

232 papers receiving 6.3k citations

Peers

William M. Baldwin
Nicole Suciu‐Foca United States
Marlene L. Rose United Kingdom
Tatsuo Kawai United States
David N. Howell United States
John C. Papadimitriou United States
Malek Kamoun United States
Charles C. Marboe United States
Scott A. Rollins United States
Nicole Suciu‐Foca United States
William M. Baldwin
Citations per year, relative to William M. Baldwin William M. Baldwin (= 1×) peers Nicole Suciu‐Foca

Countries citing papers authored by William M. Baldwin

Since Specialization
Citations

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

Fields of papers citing papers by William M. Baldwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Baldwin. 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 William M. Baldwin. The network helps show where William M. Baldwin may publish in the future.

Co-authorship network of co-authors of William M. Baldwin

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Baldwin. A scholar is included among the top collaborators of William M. Baldwin 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 William M. Baldwin. William M. Baldwin 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.
Wang, Zeneng, Rashmi Bharti, Goutam Dey, et al.. (2025). Leveraging dysregulated tumor metabolism for targeting anticancer bacteria. Science Advances. 11(24). eads1630–eads1630.
2.
Aggarwal, Anu, Ihab Haddadin, Michael C. F. Tong, et al.. (2024). Cellular and enzymatic features of thrombi in humans are vascular bed dependent. PubMed. 2(1). 100029–100029. 2 indexed citations
3.
Pickering, Harry, Rebecca A. Sosa, Nicole M. Valenzuela, et al.. (2024). Spatial multiomics of arterial regions from cardiac allograft vasculopathy rejected grafts reveal novel insights into the pathogenesis of chronic antibody-mediated rejection. American Journal of Transplantation. 24(7). 1146–1160. 2 indexed citations
4.
Gorbacheva, Victoria, et al.. (2023). Autoantibodies against DNA topoisomerase I promote renal allograft rejection by increasing alloreactive T cell responses. American Journal of Transplantation. 23(9). 1307–1318. 1 indexed citations
5.
Chun, Nicholas, Robert L. Fairchild, William M. Baldwin, et al.. (2021). T cell–derived tumor necrosis factor induces cytotoxicity by activating RIPK1-dependent target cell death. JCI Insight. 6(24). 10 indexed citations
6.
Wei, Xuedong, Nicole M. Valenzuela, Maura Rossetti, et al.. (2020). Antibody-induced vascular inflammation skews infiltrating macrophages to a novel remodeling phenotype in a model of transplant rejection. American Journal of Transplantation. 20(10). 2686–2702. 13 indexed citations
7.
Liu, Qiang, Ahmed Nassar, Laura D. Buccini, et al.. (2017). Lipid metabolism and functional assessment of discarded human livers with steatosis undergoing 24 hours of normothermic machine perfusion. Liver Transplantation. 24(2). 233–245. 47 indexed citations
8.
Do, Jeong‐su, Anabelle Visperas, Yibayiri O. Sanogo, et al.. (2015). An IL-27/Lag3 axis enhances Foxp3+ regulatory T cell–suppressive function and therapeutic efficacy. Mucosal Immunology. 9(1). 137–145. 105 indexed citations
9.
Abe, Toyofumi, Charles A. Su, Shoichi Iida, et al.. (2014). Graft-Derived CCL2 Increases Graft Injury During Antibody-Mediated Rejection of Cardiac Allografts. American Journal of Transplantation. 14(8). 1753–1764. 19 indexed citations
10.
Rodríguez, E. René, Carmela D. Tan, Andrea A. Zachary, et al.. (2005). Antibody‐Mediated Rejection in Human Cardiac Allografts: Evaluation of Immunoglobulins and Complement Activation Products C4d and C3d as Markers. American Journal of Transplantation. 5(11). 2778–2785. 122 indexed citations
11.
Burne-Taney, Melissa J., et al.. (2003). B Cell Deficiency Confers Protection from Renal Ischemia Reperfusion Injury. The Journal of Immunology. 171(6). 3210–3215. 152 indexed citations
12.
Nakashima, Shinji, Zhiping Qian, Siavash Rahimi, B Wa̧sowska, & William M. Baldwin. (2002). Membrane Attack Complex Contributes to Destruction of Vascular Integrity in Acute Lung Allograft Rejection. The Journal of Immunology. 169(8). 4620–4627. 62 indexed citations
13.
Brauer, Robert, William M. Baldwin, Dajie Wang, et al.. (1996). FUNCTIONAL ACTIVITY OF ANTI-C6 ANTIBODIES ELICITED IN C6-DEFICIENT RATS RECONSTITUTED BY LIVER ALLOGRAFTS. Transplantation. 61(4). 588–594. 11 indexed citations
14.
Wa̧sowska, B, William M. Baldwin, David N. Howell, & Fred Sanfilippo. (1991). THE EFFECTS OF DONOR-SPECIFIC BLOOD TRANSFUSION ENHANCEMENT OF RAT RENAL ALLOGRAFTS ON CYTOTOXIC ACTIVITY AND PHENOTYPES OF PERIPHERAL BLOOD LYMPHOCYTES, SPLENOCYTES, AND GRAFT-INFILTRATING CELLS. Transplantation. 51(2). 451–458. 10 indexed citations
15.
Baldwin, William M., et al.. (1985). Distinctions between cytomegalovirus-related graft loss and rejection. Transplantation Proceedings. 17(6). 2600–2603. 1 indexed citations
16.
Baldwin, William M., Jean‐Paul Soulillou, F.H.J. Claas, et al.. (1981). Antibodies to endothelial antigens in eluates of 88 human kidneys: correlation with graft survival and presence of T- and B-cell antibodies.. PubMed. 13(3). 1547–50. 19 indexed citations
17.
Hendry, Wilson S., Nicholas L. Tilney, Martin J. Graves, William M. Baldwin, & Terry B. Strom. (1979). Suppressor cells in enhancement of organ allografts.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 11(2). 1454–5. 2 indexed citations
18.
Hillman, Bruce J., et al.. (1979). Microvascular alterations in the lymph node during the BCG-induced immune response.. PubMed. 12(4). 241–6. 2 indexed citations
19.
Cohen, Nicholas, William M. Baldwin, & V. Manickavel. (1975). Phylogeny of Functional Humoral Transplantation Immunity: Comparative Studies in Amphibians and Rodents. Advances in experimental medicine and biology. 64. 411–420. 1 indexed citations
20.
Baldwin, William M.. (1952). Proceedings of the first World Metallurgical Congress. 5 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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