Michael D. Amos

550 citations
13 papers · 459 · h-index 8

Impact in

Papers in

Michael D. Amos

11 papers receiving 429 citations

Peers

Michael D. Amos
Comparison fields: 5 of 80
  • Fluid Flow and Transfer Processes 187
  • Rheumatology 87
  • Biomedical Engineering 249
  • Filtration and Separation 11
  • Hematology 33
Replace Kathrin Müller with:
Kathrin Müller Germany
Yasuhiro Maruyama Japan
Srabani Ghosh India
Till Saxer Switzerland
Daniele Perl‐Treves Israel
Myriam Cubizolles France
Marine Thiébaud France
Kathryn Regan United States
G. A. Johnson United States
Young Won Kim South Korea
Michael D. Amos relative to Kathrin Müller Germany Kathrin Müller's profile →
Citations per field
00.5×8.7×
Kathrin Müller · 1×
Citations per year

Countries citing papers authored by Michael D. Amos

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Amos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Michael D. Amos, 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 D. Amos Line = papers co-authored together Michael D. Amos links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 199276
2 199175
3 199971
4 199663
5 201245
6 200845
7 200038
8 199328
9 20077
10 20026
11 20055
12 20200
13 20200

About Michael D. Amos

Michael D. Amos is a scholar working on Biomedical Engineering, Rheumatology, Fluid Flow and Transfer Processes, Organic Chemistry and Computer Networks and Communications, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (4 papers), Thermodynamic properties of mixtures (4 papers), Systemic Lupus Erythematosus Research (3 papers), Chemical Thermodynamics and Molecular Structure (3 papers), Sensor Technology and Measurement Systems (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (187 citations), Rheumatology (87 citations), Biomedical Engineering (249 citations), Filtration and Separation (11 citations) and Hematology (33 citations). Michael D. Amos has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include George Jackson, Jacob W. IJdo, Ian A. McLure, Mohammad Reza Abedi, James M. Provenzale, Paolo Greco, Richard P. Sear, Xiugong Gao, Sudhir Srivastava and Peter E. Barker. Their work appears in journals such as Lupus, Molecular Physics, Clinical Rheumatology, The Journal of Chemical Physics and PROTEOMICS.

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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