SM Watt

1.4k citations
20 papers · 1.1k · h-index 13

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
    • Cell Adhesion Molecules Research

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 4
    • Platelet Disorders and Treatments 3
    • Glycosylation and Glycoproteins Research 4
    • Single-cell and spatial transcriptomics 2

SM Watt

19 papers receiving 1.1k citations

Peers

SM Watt
Comparison fields: 5 of 84
  • Hematology 533
  • Immunology and Allergy 124
  • Immunology 363
  • Genetics 134
  • Public Health, Environmental and Occupational Health 220
Replace Marion Baudard with:
Marion Baudard France
Margarete Zaborski Germany
F Valensi France
SA Cannistra United States
NN Iscove Canada
Timothy J. Ernst United States
Miranda Buitenhuis Netherlands
Dario Ferrero Italy
T Hoang Canada
Emir Hadzijusufovic Austria
SM Watt relative to Marion Baudard France Marion Baudard's profile →
Citations per field
00.5×3.5×
Marion Baudard · 1×
Citations per year

Countries citing papers authored by SM Watt

Since Specialization
Citations

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

Fields of papers citing papers by SM Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside SM Watt, 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 SM Watt Line = papers co-authored together SM Watt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1986472
2 1993143
3 199496
4 198687
5 198849
6 198145
7
An improved negative immunomagnetic selection strategy for the purification of primitive hemopoietic cells from normal bone marrow.
199141
8 199435
9 198833
10 198832
11 198432
12 198630
13 199926
14 19945
15 19935
16 19984
17 19863
18 19943
19 19913
20 19940

About SM Watt

SM Watt is a scholar working on Hematology, Molecular Biology, Immunology, Cell Biology and Physiology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (4 papers), Platelet Disorders and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Hematology (533 citations), Immunology and Allergy (124 citations), Immunology (363 citations), Genetics (134 citations) and Public Health, Environmental and Occupational Health (220 citations). SM Watt has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Andrew J. Furley, Melvyn F. Greaves, H. V. Molgaard, LC Chan, Deirdre R. Coombe, W. J. Simmonds, Christopher R. Parish, MF Greaves, Ivan Bertoncello and T. R. Bradley. Their work appears in journals such as Blood, Journal of Lipid Research, The EMBO Journal, Leukemia and Journal of Symbolic Computation.

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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