M. Lewis

1.3k citations
69 papers · 920 · h-index 17

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Blood groups and transfusion 32
    • Erythrocyte Function and Pathophysiology 19

M. Lewis

56 papers receiving 796 citations

Peers

M. Lewis
Comparison fields: 5 of 102
  • Hematology 508
  • Physiology 299
  • Genetics 103
  • Pediatrics, Perinatology and Child Health 134
  • Genetics 149
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E. Smart United States
T. E. Cleghorn United Kingdom
Piero C. Giordano Netherlands
Alexis Kristine Leonard United States
Jeffrey S. Friedman United States
Verena B. Brand Germany
Diana S. Parker United States
Tiffany Nguyen United States
Eugene H. Cox United Kingdom
Ji-Min Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by M. Lewis

Since Specialization
Citations

This map shows the geographic impact of M. Lewis'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. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lewis more than expected).

Fields of papers citing papers by M. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Lewis. 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. Lewis. The network helps show where M. Lewis may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Lewis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Lewis Line = papers co-authored together M. Lewis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rh isoimmunization during pregnancy: antenatal prophylaxis.
1978150
2 199074
3 200451
4 199537
5 197133
6 199130
7 198529
8 198729
9 196128
10 198228
11 199027
12 199725
13 200823
14 198821
15 199020
16
Rh isoimmunization, Manitoba, 1963-75.
197717
17 198817
18 196716
19 197316
20 198016

About M. Lewis

M. Lewis is a scholar working on Hematology, Physiology, Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 69 papers that have together received 920 indexed citations. Recurring topics across this work include Blood groups and transfusion (32 papers), Erythrocyte Function and Pathophysiology (19 papers), RNA modifications and cancer (8 papers), Neonatal Health and Biochemistry (6 papers), Genomic variations and chromosomal abnormalities (5 papers), Blood disorders and treatments (5 papers), Diabetes and associated disorders (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Hematology (508 citations), Physiology (299 citations), Genetics (103 citations), Pediatrics, Perinatology and Child Health (134 citations) and Genetics (149 citations). M. Lewis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include B. Chown, Hiroko Kaita, Janet M. Pollock, JOEL M. BOWMAN, K. C. Sink, Sylvia Philipps, Gail Coghlan, PHYLLIS J. McALPINE, Daniel Hartman Johnson and Bartley G. Hoebel. Their work appears in journals such as Vox Sanguinis, Transfusion, Annals of Human Genetics, Genomics and Human Genetics.

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.

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