Tim Goodship
Impact in
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies
- Immunology top 1%
- Complement system in diseases
Papers in
- Immunology 32
- Complement system in diseases 32
- Nephrology 16
- Renal Diseases and Glomerulopathies 11
- Co-authors
- David Kavanagh (10 shared papers)Anna Richards (4 shared papers)Marie Scully (2 shared papers)Véronique Frémeaux‐Bacchi (5 shared papers)C. Mark Taylor (1 shared paper)Sam Machin (1 shared paper)Stephen J. Wigmore (1 shared paper)Lisa Strain (5 shared papers)
- Journals
- Pediatric Nephrology (4 papers)Molecular Immunology (4 papers)American Journal of Kidney Diseases (3 papers)Blood (2 papers)Nephrology Dialysis Transplantation (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Tim Goodship
46 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 87
- Nephrology 980
- Immunology 1.7k
- Transplantation 160
- Hematology 537
- Physiology 227
Countries citing papers authored by Tim Goodship
This map shows the geographic impact of Tim Goodship'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 Tim Goodship with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Goodship more than expected).
Fields of papers citing papers by Tim Goodship
This network shows the impact of papers produced by Tim Goodship. 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 Tim Goodship. The network helps show where Tim Goodship may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Goodship, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 251 | |
| 2 | 2011 | 221 | |
| 3 | 2015 | 210 | |
| 4 | 2009 | 152 | |
| 5 | 2014 | 113 | |
| 6 | 2010 | 112 | |
| 7 | 2006 | 102 | |
| 8 | 2013 | 93 | |
| 9 | 2015 | 90 | |
| 10 | 2009 | 84 | |
| 11 | 2009 | 82 | |
| 12 | 2015 | 74 | |
| 13 | 2013 | 64 | |
| 14 | 1986 | 55 | |
| 15 | 2010 | 43 | |
| 16 | 2002 | 36 | |
| 17 | 2008 | 36 | |
| 18 | 2015 | 34 | |
| 19 | 2009 | 31 | |
| 20 | 2009 | 30 |
About Tim Goodship
Tim Goodship is a scholar working on Immunology, Nephrology, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complement system in diseases (32 papers), Renal Diseases and Glomerulopathies (11 papers), Blood groups and transfusion (10 papers), Hemoglobinopathies and Related Disorders (8 papers), Adenosine and Purinergic Signaling (6 papers), Renal Transplantation Outcomes and Treatments (6 papers), Erythrocyte Function and Pathophysiology (4 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Nephrology (980 citations), Immunology (1.7k citations), Transplantation (160 citations), Hematology (537 citations) and Physiology (227 citations). Tim Goodship has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David Kavanagh, Anna Richards, Marie Scully, Véronique Frémeaux‐Bacchi, C. Mark Taylor, Sam Machin, Stephen J. Wigmore, Lisa Strain, Peter F. Zipfel and Christine Skerka. Their work appears in journals such as Pediatric Nephrology, Molecular Immunology, American Journal of Kidney Diseases, Blood and Nephrology Dialysis 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.