James W. Langley
- Molecular Biology top 5%
- Organic Chemistry top 1%
- Oncology top 10%
- Pharmacology top 2%
- Toxicology top 0.5%
- Co-authors
- Robert H. ShoemakerCurtis HoseAnne MonksDavid T. VisticaH. CampbellKenneth D. PaullDominic A. ScudieroPhilip Skehan
- Topics
- Renal Transplantation Outcomes and Treatments (5 papers)Blood groups and transfusion (5 papers)Organ Transplantation Techniques and Outcomes (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
James W. Langley
14 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.5k
- Organic Chemistry 1.3k
- Oncology 430
- Pharmacology 400
- Toxicology 334
Countries citing papers authored by James W. Langley
This map shows the geographic impact of James W. Langley'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 James W. Langley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James W. Langley more than expected).
Fields of papers citing papers by James W. Langley
This network shows the impact of papers produced by James W. Langley. 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 James W. Langley. The network helps show where James W. Langley may publish in the future.
Co-authorship network of co-authors of James W. Langley
This figure shows the co-authorship network connecting the top 25 collaborators of James W. Langley. A scholar is included among the top collaborators of James W. Langley 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 James W. Langley. James W. Langley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | Inducible IL-2 on CD8 lymphocytes as a postoperative predictor of rejection in renal allograft recipients. | 2 |
| 3 | Feasibility of a High-Flux Anticancer Drug Screen Using a Diverse Panel of Cultured Human Tumor Cell Linesbreakdown → | 2889 |
| 4 | Single center experience of the effect of delayed function on outcome in retransplant recipients of cadaveric renal allografts. | 3 |
| 5 | 43 | |
| 6 | Prospective study of kidney transplantation across positive T warm crossmatches. | 2 |
| 7 | The results of renal transplantation with cyclosporine in immunologically high-risk patients. | 1 |
| 8 | 4 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 23 |
About James W. Langley
James W. Langley is a scholar working on Transplantation, Hematology and Biochemistry, having authored 14 papers that have together received 3.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Blood groups and transfusion (5 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Toxicology (334 citations), Organic Chemistry (1.3k citations) and Transplantation (78 citations). James W. Langley has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert H. Shoemaker, Curtis Hose, Anne Monks, David T. Vistica, H. Campbell, Kenneth D. Paull, Dominic A. Scudiero, Philip Skehan, Marie Boyd and Stanley Weitzner. Their work appears in journals such as JNCI Journal of the National Cancer Institute, The Journal of Urology and Transplantation.
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.