D Ludwin

1.7k total citations
51 papers, 1.3k citations indexed

About

D Ludwin is a scholar working on Transplantation, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, D Ludwin has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Transplantation, 12 papers in Public Health, Environmental and Occupational Health and 10 papers in Surgery. Recurrent topics in D Ludwin's work include Renal Transplantation Outcomes and Treatments (14 papers), Organ Donation and Transplantation (11 papers) and Organ Transplantation Techniques and Outcomes (7 papers). D Ludwin is often cited by papers focused on Renal Transplantation Outcomes and Treatments (14 papers), Organ Donation and Transplantation (11 papers) and Organ Transplantation Techniques and Outcomes (7 papers). D Ludwin collaborates with scholars based in Canada, United States and South Africa. D Ludwin's co-authors include David Churchill, J. David Russell, Mary Louise Beecroft, D. Wayne Taylor, Edward K. Smith, Atsuya Shimizu, Peter Tugwell, Darin Treleaven, Christian G. Rabbat and W. Bensen and has published in prestigious journals such as The Lancet, European Journal of Operational Research and Kidney International.

In The Last Decade

D Ludwin

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Ludwin Canada 15 395 345 266 250 191 51 1.3k
Gudrun Nyberg Sweden 25 692 1.8× 910 2.6× 648 2.4× 471 1.9× 145 0.8× 56 2.2k
Keshwar Baboolal United Kingdom 19 845 2.1× 514 1.5× 374 1.4× 258 1.0× 39 0.2× 67 1.6k
Alberto Rosati Italy 21 319 0.8× 327 0.9× 436 1.6× 178 0.7× 130 0.7× 73 1.3k
B. Kiberd Canada 19 525 1.3× 273 0.8× 208 0.8× 89 0.4× 98 0.5× 55 1.1k
N. H. Selwood United Kingdom 22 253 0.6× 260 0.8× 551 2.1× 317 1.3× 25 0.1× 51 1.3k
Conall M. O’Seaghdha Ireland 21 220 0.6× 253 0.7× 609 2.3× 147 0.6× 61 0.3× 48 1.3k
Lucien Noens Belgium 24 90 0.2× 210 0.6× 84 0.3× 306 1.2× 231 1.2× 70 2.0k
Arjan D. van Zuilen Netherlands 22 456 1.2× 395 1.1× 537 2.0× 214 0.9× 28 0.1× 57 1.4k
Narelle S Willis Australia 21 175 0.4× 165 0.5× 834 3.1× 232 0.9× 137 0.7× 31 1.5k
Emili Vela Spain 26 108 0.3× 258 0.7× 133 0.5× 207 0.8× 47 0.2× 115 2.4k

Countries citing papers authored by D Ludwin

Since Specialization
Citations

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

Fields of papers citing papers by D Ludwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Ludwin

This figure shows the co-authorship network connecting the top 25 collaborators of D Ludwin. A scholar is included among the top collaborators of D Ludwin 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 D Ludwin. D Ludwin 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.
Yuan, Yufei, et al.. (2007). An intelligent agent approach to improving the coordination efficiency in the donor kidney distribution process. International Journal of Electronic Healthcare. 3(4). 479–479. 1 indexed citations
2.
Yuan, Yufei, et al.. (2006). An Intelligent Agent Approach to Improving the Coordination Efficiency in Donor Kidney Distribution Process.. Journal of the Association for Information Systems. 327. 1 indexed citations
3.
Rabbat, Christian G., et al.. (2003). Prognostic Value of Myocardial Perfusion Studies in Patients with End-Stage Renal Disease Assessed for Kidney or Kidney-Pancreas Transplantation. Journal of the American Society of Nephrology. 14(2). 431–439. 116 indexed citations
4.
Kingma, Iris, et al.. (1997). Economic analysis of Neoral in de novo renal transplant patients in Canada.. PubMed. 11(1). 42–8. 12 indexed citations
5.
6.
Kingma, Iris, et al.. (1997). Economic analysis of Neoral in de novo renal transplant patients in Canada. Clinical Transplantation. 11(1). 42–48. 7 indexed citations
7.
Ludwin, D, Iakovina Alexopoulou, John M. Esdaile, & Peter Tugwell. (1994). Renal Biopsy Specimens From Patients With Rheumatoid Arthritis and Apparently Normal Renal Function After Therapy With Cyclosporine. American Journal of Kidney Diseases. 23(2). 260–265. 6 indexed citations
8.
Gafni, Amiram, et al.. (1994). Development of a Central Matching System for the Allocation of Cadaveric Kidneys. Medical Decision Making. 14(2). 124–136. 14 indexed citations
9.
Russell, J. David, Mary Louise Beecroft, D Ludwin, & David Churchill. (1992). THE QUALITY OF LIFE IN RENAL TRANSPLANTATION—A PROSPECTIVE STUDY. Transplantation. 54(4). 656–660. 179 indexed citations
10.
Smith, Edward K., et al.. (1992). Terminal loop cutaneous ureterostomy in renal transplantation. Urology. 40(3). 280–282. 5 indexed citations
11.
Churchill, David, Jean E. Wallace, D Ludwin, Mary Louise Beecroft, & D. Wayne Taylor. (1991). A comparison of evaluative indices of quality of life and cognitive function in hemodialysis patients. Controlled Clinical Trials. 12(4). S159–S167. 27 indexed citations
12.
Ludwin, D. (1991). Cyclosporine monitoring in autoimmune and other diseases. Clinical Biochemistry. 24(1). 97–99. 4 indexed citations
13.
Tugwell, Peter, Claire Bombardier, Michael Gent, et al.. (1990). Low-dose cyclosporin versus placebo in patients with rheumatoid arthritis. The Lancet. 335(8697). 1051–1055. 182 indexed citations
14.
Halloran, Philip F., M Aprile, Vernon T. Farewell, et al.. (1989). Early Function as the Principal Correlate of Graft Survival. A Multivariate Analysis of 200 Cadaveric Renal Transplants Treated with a Protocol Incorporating Antilymphocyte Globulin and Cyclosporine. The Journal of Urology. 141(6). 1504–1505. 7 indexed citations
15.
Ludwin, D, et al.. (1988). Nephrotoxicity in patients with rheumatoid arthritis treated with cyclosporine.. PubMed. 20(3 Suppl 4). 367–70. 14 indexed citations
16.
Churchill, David, D. Wayne Taylor, Mary Louise Beecroft, et al.. (1988). Dialyzer Re-Use – A Multiple Crossover Study with Random Allocation to Order of Treatment. ˜The œNephron journals/Nephron journals. 50(4). 325–331. 8 indexed citations
17.
Ludwin, D & D. P. Singal. (1988). EFFECT OF BLOOD TRANSFUSIONS FROM DIFFERENT H-2 DONORS ON IMMUNE RESPONSES IN MICE. Transplantation. 45(4). 777–783. 4 indexed citations
18.
Ludwin, D, S. Joseph, & D. P. Singal. (1987). MLC-Inhibiting serum in mice after transfusion with 3 M KCl-extracted soluble antigen. Journal of Surgical Research. 43(5). 436–443. 1 indexed citations
19.
Churchill, David, et al.. (1987). Measurement of quality of life in end-stage renal disease: the time trade-off approach.. PubMed. 10(1). 14–20. 231 indexed citations
20.
Dp, Singal, et al.. (1987). Anti-idiotypic antibodies and suppressor cells in patients receiving pretransplant donor-specific blood transfusions.. PubMed. 19(4). 3399–401. 6 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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