M. Webb
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Organ and Tissue Transplantation Research
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
- Surgery 15
- Organ Transplantation Techniques and Outcomes 12
- Transplantation: Methods and Outcomes 3
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- Liver Disease and Transplantation 7
- Co-authors
- Andreas G. Tzakis (14 shared papers)Jose Nery (11 shared papers)Theodore Karatzas (12 shared papers)Eugene R. Schiff (6 shared papers)Camillo Ricordi (8 shared papers)Farrukh Aslam Khan (5 shared papers)Gennaro Selvaggi (4 shared papers)Phillip Ruiz (4 shared papers)
- Journals
- Clinical Transplantation (2 papers)Transplantation Proceedings (11 papers)British Journal of Haematology (1 paper)Genes (1 paper)Biomolecules (1 paper)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
M. Webb
26 papers receiving 412 citations
Peers
Comparison fields: 5 of 45
- Transplantation 110
- Hepatology 92
- Surgery 233
- Hematology 61
- Microbiology 2
Countries citing papers authored by M. Webb
This map shows the geographic impact of M. Webb'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 M. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Webb more than expected).
Fields of papers citing papers by M. Webb
This network shows the impact of papers produced by M. Webb. 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 M. Webb. The network helps show where M. Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Webb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 123 | |
| 2 | 1997 | 72 | |
| 3 | 1995 | 28 | |
| 4 | 1997 | 27 | |
| 5 | 1997 | 26 | |
| 6 | 1998 | 18 | |
| 7 | 1997 | 18 | |
| 8 | 1967 | 13 | |
| 9 | 1997 | 13 | |
| 10 | 1997 | 12 | |
| 11 | 1997 | 11 | |
| 12 | 2001 | 8 | |
| 13 | 1998 | 8 | |
| 14 | 1993 | 8 | |
| 15 | 1997 | 7 | |
| 16 | 1996 | 7 | |
| 17 | Enhanced allograft acceptance by multiple infusions of donor bone marrow in humans. | 1995 | 7 |
| 18 | 1996 | 5 | |
| 19 | 1997 | 5 | |
| 20 | 1997 | 3 |
About M. Webb
M. Webb is a scholar working on Surgery, Hepatology, Epidemiology, Transplantation and Hematology, having authored 27 papers that have together received 427 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (12 papers), Liver Disease and Transplantation (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Renal Transplantation Outcomes and Treatments (5 papers), Organ and Tissue Transplantation Research (3 papers), Transplantation: Methods and Outcomes (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Transplantation (110 citations), Hepatology (92 citations), Surgery (233 citations), Hematology (61 citations) and Microbiology (2 citations). M. Webb has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include Andreas G. Tzakis, Jose Nery, Theodore Karatzas, Eugene R. Schiff, Camillo Ricordi, Farrukh Aslam Khan, Gennaro Selvaggi, Phillip Ruiz, Hugo F. Fernández and Joshua Miller. Their work appears in journals such as Clinical Transplantation, Transplantation Proceedings, British Journal of Haematology, Genes and Biomolecules.
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.