MA Moore

2.4k citations
31 papers · 2.0k · h-index 22

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 15
    • Acute Myeloid Leukemia Research 4
    • Immunotherapy and Immune Responses 7
    • Immune Response and Inflammation 6
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3
    • Immune cells in cancer 3

MA Moore

31 papers receiving 1.8k citations

Peers

MA Moore
Comparison fields: 5 of 81
  • Hematology 1.1k
  • Genetics 532
  • Immunology 677
  • Oncology 317
  • Immunology and Allergy 64
Replace NG Testa with:
NG Testa United Kingdom
Anna Porwit‐MacDonald Sweden
K Kaushansky United States
M. Y. Gordon United Kingdom
JW Adamson United States
V C Broudy United States
Frederick A. Fletcher United States
Giovanna Piaggio Italy
Ulf‐Henrik Mellqvist Sweden
TM Dexter United Kingdom
MA Moore relative to NG Testa United Kingdom NG Testa's profile →
Citations per field
00.5×1.5×2.3×
NG Testa · 1×
Citations per year

Countries citing papers authored by MA Moore

Since Specialization
Citations

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

Fields of papers citing papers by MA Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995238
2 1981223
3 1996195
4 1978194
5 1993138
6 1980125
7 198295
8 198381
9 198577
10 197869
11 198963
12 197757
13 197954
14 199151
15 198250
16 199142
17 197837
18 199336
19 199334
20 198130

About MA Moore

MA Moore is a scholar working on Hematology, Immunology, Molecular Biology, Genetics and Oncology, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Immunotherapy and Immune Responses (7 papers), Immune Response and Inflammation (6 papers), Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (4 papers), Acute Myeloid Leukemia Research (4 papers), T-cell and B-cell Immunology (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (532 citations), Immunology (677 citations), Oncology (317 citations) and Immunology and Allergy (64 citations). MA Moore has collaborated with scholars based in United States and France. Frequent co-authors include HE Broxmeyer, R L Nachman, EM Rabellino, Andrew Yen, RJ O’Reilly, JI Kurland, F.L. Shapiro, Ruth Pettengell, Barbara Ferris and AS Asch. Their work appears in journals such as Blood.

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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