M.‐J. King
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in ⓘ
- Physiology 10
- Erythrocyte Function and Pathophysiology 10
-
- Glycosylation and Glycoproteins Research 6
- Co-authors
- Alberto Zanella (2 shared papers)Richard Stevens (1 shared paper)N J Dodd (1 shared paper)G Lamont (1 shared paper)Paula Bolton‐Maggs (1 shared paper)Achille Iolascon (2 shared papers)Loïc Garçon (1 shared paper)Paola Bianchi (1 shared paper)
- Journals
- Transfusion (4 papers)British Journal of Haematology (2 papers)Cytometry Part B Clinical Cytometry (1 paper)American Journal of Hematology (1 paper)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
M.‐J. King
16 papers receiving 513 citations
Peers
Comparison fields: 5 of 60
- Hematology 187
- Genetics 165
- Physiology 383
- Pediatrics, Perinatology and Child Health 147
- Pulmonary and Respiratory Medicine 186
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 | 175 | |
| 2 | 2015 | 104 | |
| 3 | 2013 | 90 | |
| 4 | 1991 | 40 | |
| 5 | Haplotype distribution of the human phenylalanine hydroxylase locus in Scotland and Switzerland. | 1989 | 32 |
| 6 | 2010 | 22 | |
| 7 | 1991 | 20 | |
| 8 | 1995 | 11 | |
| 9 | 1992 | 9 | |
| 10 | 2011 | 8 | |
| 11 | 1994 | 6 | |
| 12 | 2016 | 5 | |
| 13 | Radioassays of blood group M, N and T (Thomsen-Friedenreich) antigens. | 1979 | 5 |
| 14 | 1988 | 4 | |
| 15 | 1997 | 3 | |
| 16 | 2012 | 1 |
About M.‐J. King
M.‐J. King is a scholar working on Physiology, Molecular Biology, Hematology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 535 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Blood groups and transfusion (7 papers), Glycosylation and Glycoproteins Research (6 papers), Blood properties and coagulation (4 papers), Neonatal Health and Biochemistry (3 papers), Pancreatic function and diabetes (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (187 citations), Genetics (165 citations), Physiology (383 citations), Pediatrics, Perinatology and Child Health (147 citations) and Pulmonary and Respiratory Medicine (186 citations). M.‐J. King has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Alberto Zanella, Richard Stevens, N J Dodd, G Lamont, Paula Bolton‐Maggs, Achille Iolascon, Loïc Garçon, Paola Bianchi, Gordon W. Stewart and J. D. Hoyer. Their work appears in journals such as Transfusion, British Journal of Haematology, Cytometry Part B Clinical Cytometry, American Journal of Hematology and Blood Cells Molecules and Diseases.
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.