M.‐J. King
Impact in
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
- Hematology top 5%
- Blood groups and transfusion
Papers in
- Physiology 13
- Erythrocyte Function and Pathophysiology 13
-
- Blood groups and transfusion 5
- Co-authors
- Alberto Zanella (2 shared papers)N J Dodd (1 shared paper)Paula H. B. Bolton‐Maggs (1 shared paper)G Lamont (1 shared paper)Richard Stevens (1 shared paper)Achille Iolascon (2 shared papers)Paola Ilaria Bianchi (1 shared paper)Loïc Garçon (1 shared paper)
- Journals
- Transfusion (4 papers)British Journal of Haematology (2 papers)Cytometry Part B Clinical Cytometry (1 paper)Blood Cells Molecules and Diseases (1 paper)Vox Sanguinis (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
M.‐J. King
19 papers receiving 598 citations
Peers
Comparison fields: 5 of 57
- Physiology 427
- Hematology 179
- Genetics 159
- Pediatrics, Perinatology and Child Health 131
- Pulmonary and Respiratory Medicine 149
Countries citing papers authored by M.‐J. King
This map shows the geographic impact of M.‐J. King'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.‐J. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.‐J. King more than expected).
Fields of papers citing papers by M.‐J. King
This network shows the impact of papers produced by M.‐J. King. 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.‐J. King. The network helps show where M.‐J. King may publish in the future.
Co-authors
The 25 scholars most cited alongside M.‐J. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 211 | |
| 2 | 2015 | 123 | |
| 3 | 2013 | 104 | |
| 4 | 1991 | 45 | |
| 5 | Haplotype distribution of the human phenylalanine hydroxylase locus in Scotland and Switzerland. | 1989 | 32 |
| 6 | 1991 | 23 | |
| 7 | 2010 | 22 | |
| 8 | 1995 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 1992 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2011 | 8 | |
| 13 | 2009 | 7 | |
| 14 | 1994 | 7 | |
| 15 | Radioassays of blood group M, N and T (Thomsen-Friedenreich) antigens. | 1979 | 5 |
| 16 | 1988 | 4 | |
| 17 | 1997 | 4 | |
| 18 | 2016 | 1 | |
| 19 | 2012 | 1 |
About M.‐J. King
M.‐J. King is a scholar working on Physiology, Hematology, Genetics, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 19 papers that have together received 636 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (13 papers), Glycosylation and Glycoproteins Research (5 papers), Blood groups and transfusion (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Blood properties and coagulation (4 papers), Neonatal Health and Biochemistry (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Physiology (427 citations), Hematology (179 citations), Genetics (159 citations), Pediatrics, Perinatology and Child Health (131 citations) and Pulmonary and Respiratory Medicine (149 citations). M.‐J. King has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Alberto Zanella, N J Dodd, Paula H. B. Bolton‐Maggs, G Lamont, Richard Stevens, Achille Iolascon, Paola Ilaria Bianchi, Loïc Garçon, J. D. Hoyer and V. Picard. Their work appears in journals such as Transfusion, British Journal of Haematology, Cytometry Part B Clinical Cytometry, Blood Cells Molecules and Diseases and Vox Sanguinis.
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.