Michael Spencer Chapman

4.0k citations
15 papers · 277 indexed · h-index 7
    • Cancer Genomics and Diagnostics 7
  • Hematology top 10%
    • Acute Myeloid Leukemia Research 3
    • Hematopoietic Stem Cell Transplantation 2
    • Genomics and Rare Diseases 1
    • Chronic Lymphocytic Leukemia Research 1
    • Mesenchymal stem cell research 1
    • Genomics and Rare Diseases 1
    • Chronic Lymphocytic Leukemia Research 1
    • Mesenchymal stem cell research 1
    • Single-cell and spatial transcriptomics 4
    • CRISPR and Genetic Engineering 2

Michael Spencer Chapman

15 papers receiving 276 citations

Peers

Michael Spencer Chapman
Comparison fields: 5 of 51
  • Cancer Research 105
  • Hematology 74
  • Genetics 44
  • Genetics 69
  • Molecular Biology 155
Replace Noa Chapal-Ilani with:
Noa Chapal-Ilani Israel
Yuichiro Semba Japan
Roel Vandepoel Belgium
Gue Su Chang United States
Verena Rupp Austria
Antonella Santoro United Kingdom
Anton Willer Denmark
Hanqian L. Carlson United States
Sue Colman United Kingdom
Brynelle Myers United Kingdom
Michael Spencer Chapman relative to Noa Chapal-Ilani Israel Noa Chapal-Ilani's profile →
Citations per field
00.5×2.9×
Noa Chapal-Ilani · 1×
Citations per year

Countries citing papers authored by Michael Spencer Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Spencer Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Spencer Chapman. 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 Michael Spencer Chapman. The network helps show where Michael Spencer Chapman may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20252
2 202436
3 20247
4 20246
5 202327
6 20223
7 202184
8 202175
9 20214
10 20202
11 20181
12 20153
13 200212
14 199611
15 19964

About Michael Spencer Chapman

Michael Spencer Chapman is a scholar working on Hematology, Cancer Research and Genetics, having authored 15 papers that have together received 277 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Single-cell and spatial transcriptomics (4 papers), Acute Myeloid Leukemia Research (3 papers), CRISPR and Genetic Engineering (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Genomics and Rare Diseases (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cancer Research (105 citations), Hematology (74 citations) and Genetics (44 citations). Michael Spencer Chapman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Peter J. Campbell, Emily Mitchell, Nicholas Williams, Jyoti Nangalia, Tim Coorens, Yvette Hooks, Philip S. Robinson, Luiza Moore, Kevin J. Dawson and Ana Cvejic. Their work appears in journals such as Nature, Nature Medicine and Nature 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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