T. McNally
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Systemic Lupus Erythematosus Research 9
-
- Platelet Disorders and Treatments 9
- Blood groups and transfusion 3
- Co-authors
- Ian Mackie (10 shared papers)David Isenberg (9 shared papers)Michael C. Berndt (4 shared papers)Robert K. Andrews (4 shared papers)Samuel J. Machin (5 shared papers)Simon J. Harris (1 shared paper)G. Purdy (2 shared papers)L. Regan (1 shared paper)
- Journals
- Blood (3 papers)British Journal of Haematology (2 papers)Thrombosis and Haemostasis (2 papers)Blood Coagulation & Fibrinolysis (1 paper)British Journal of Anaesthesia (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
T. McNally
21 papers receiving 783 citations
Peers
Comparison fields: 5 of 75
- Hematology 343
- Rheumatology 345
- Nephrology 97
- Immunology and Allergy 75
- Internal Medicine 46
Countries citing papers authored by T. McNally
This map shows the geographic impact of T. McNally'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 T. McNally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. McNally more than expected).
Fields of papers citing papers by T. McNally
This network shows the impact of papers produced by T. McNally. 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 T. McNally. The network helps show where T. McNally may publish in the future.
Co-authors
The 25 scholars most cited alongside T. McNally, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 167 | |
| 2 | 1998 | 110 | |
| 3 | 1995 | 85 | |
| 4 | 1995 | 63 | |
| 5 | 2001 | 61 | |
| 6 | 2000 | 60 | |
| 7 | 1994 | 48 | |
| 8 | 1993 | 47 | |
| 9 | 1994 | 41 | |
| 10 | 1997 | 33 | |
| 11 | 1993 | 29 | |
| 12 | 1995 | 14 | |
| 13 | 1996 | 13 | |
| 14 | 1993 | 11 | |
| 15 | 1994 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 1995 | 7 | |
| 18 | 1994 | 5 | |
| 19 | 1993 | 1 | |
| 20 | 1994 | 1 |
About T. McNally
T. McNally is a scholar working on Rheumatology, Hematology, Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology, having authored 21 papers that have together received 817 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Systemic Lupus Erythematosus Research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Blood groups and transfusion (3 papers), Blood disorders and treatments (3 papers), Cell Adhesion Molecules Research (2 papers), Acute Kidney Injury Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (343 citations), Rheumatology (345 citations), Nephrology (97 citations), Immunology and Allergy (75 citations) and Internal Medicine (46 citations). T. McNally has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Ian Mackie, David Isenberg, Michael C. Berndt, Robert K. Andrews, Samuel J. Machin, Simon J. Harris, G. Purdy, L. Regan, W. Pickering and Manisha Dave. Their work appears in journals such as Blood, British Journal of Haematology, Thrombosis and Haemostasis, Blood Coagulation & Fibrinolysis and British Journal of Anaesthesia.
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.