M A Moore

5.6k citations
114 papers · 4.5k indexed · 1 hit paper · h-index 36

Impact in

    • Theoretical and Computational Physics
    • Physics of Superconductivity and Magnetism
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation

Papers in

M A Moore

113 papers receiving 4.3k citations

Hit Papers

Purification and biochemical characterization of human pluripotent hematopoietic colony-stimulating factor. 1985 · 405 citations
4051985202619982012100200300400

Peers

M A Moore
Comparison fields: 5 of 134
  • Condensed Matter Physics 1.7k
  • Hematology 931
  • Statistical and Nonlinear Physics 546
  • Mathematical Physics 350
  • Immunology 791
Replace Shoudan Liang with:
Shoudan Liang United States
Иван Тодоров United States
Hajime Takayama Japan
Alfred Zippelius Switzerland
M. S. Wertheim United States
Hiroyuki Tomita Japan
T. Kinoshita Japan
Minoru Takahashi Japan
Ariel Fernández United States
Ran Ni China
M A Moore relative to Shoudan Liang United States Shoudan Liang's profile →
Citations per field
00.5×3.8×
Shoudan Liang · 1×
Citations per year

Countries citing papers authored by M A Moore

Since Specialization
Citations

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

Fields of papers citing papers by M A Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201713
2 201624
3 201217
4 200612
5 200438
6 20045
7 200111
8 200027
9 199813
10 199246
11 1985141
12 1985126
13 19853
14 198014
15 198031
16 1978114
17 197761
18 197746
19 197215
20 197211

About M A Moore

M A Moore is a scholar working on Condensed Matter Physics, Hematology, Statistical and Nonlinear Physics, Immunology and Economics and Econometrics, having authored 114 papers that have together received 4.5k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (52 papers), Complex Systems and Time Series Analysis (21 papers), Material Dynamics and Properties (18 papers), Hematopoietic Stem Cell Transplantation (17 papers), Complex Network Analysis Techniques (17 papers), Physics of Superconductivity and Magnetism (9 papers), Quantum, superfluid, helium dynamics (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (8 papers). The work is most often cited by research in Condensed Matter Physics (1.7k citations), Hematology (931 citations), Statistical and Nonlinear Physics (546 citations), Mathematical Physics (350 citations) and Immunology (791 citations). M A Moore has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include A. J. Bray, Michael Wortis, Li Lu, M. Ferer, E Platzer, Roland Mertelsmann, E. Levi, J. Lester Gabrilove, G. Barton and JI Kurland. Their work appears in journals such as Blood, Physical Review Letters, Physical review. B, Condensed matter, Proceedings of the National Academy of Sciences and Physical Review B.

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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