M H Miller
- Epidemiology
- Pathology and Forensic Medicine top 10%
- Rheumatology top 10%
- Immunology
- Infectious Diseases top 10%
- Co-authors
- Geoffrey LittlejohnA. J. BarnettJames PoseverChristianne YungDavid E. YocumMartin BerryJeffrey LisseNeil M. Ampel
- Topics
- Systemic Lupus Erythematosus Research (6 papers)Systemic Sclerosis and Related Diseases (4 papers)Dermatological and Skeletal Disorders (2 papers)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
M H Miller
12 papers receiving 508 citations
Peers
Comparison fields: 5 of 69
- Epidemiology 200
- Pathology and Forensic Medicine 184
- Rheumatology 160
- Immunology 116
- Infectious Diseases 115
Countries citing papers authored by M H Miller
This map shows the geographic impact of M H Miller'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 H Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M H Miller more than expected).
Fields of papers citing papers by M H Miller
This network shows the impact of papers produced by M H Miller. 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 H Miller. The network helps show where M H Miller may publish in the future.
Co-authorship network of co-authors of M H Miller
This figure shows the co-authorship network connecting the top 25 collaborators of M H Miller. A scholar is included among the top collaborators of M H Miller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M H Miller. M H Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 196 | |
| 3 | 43 | |
| 4 | Single anticardiolipin measurement in the routine management of patients with systemic lupus erythematosus. | 4 |
| 5 | Antiphospholipid antibodies in the connective tissue diseases: their relation to the antiphospholipid syndrome and forme fruste disease. | 37 |
| 6 | The scleroderma neck sign. | 1 |
| 7 | A survival study of patients with scleroderma diagnosed over 30 years (1953-1983): the value of a simple cutaneous classification in the early stages of the disease. | 137 |
| 8 | 29 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | Clinical comparison of cultured human epithelial cells and rat liver as substrates for the fluorescent antinuclear antibody test. | 12 |
| 12 | 15 |
About M H Miller
M H Miller is a scholar working on Rheumatology, Pathology and Forensic Medicine and Otorhinolaryngology, having authored 12 papers that have together received 543 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (6 papers), Systemic Sclerosis and Related Diseases (4 papers) and Dermatological and Skeletal Disorders (2 papers). The work is most often cited by research in Microbiology (12 citations), Rheumatology (160 citations) and Pathology and Forensic Medicine (184 citations). M H Miller has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Geoffrey Littlejohn, A. J. Barnett, James Posever, Christianne Yung, David E. Yocum, Martin Berry, Jeffrey Lisse, Neil M. Ampel, John Tesser and Oscar Gluck. Their work appears in journals such as Annals of the Rheumatic Diseases, Experimental Biology and Medicine and Lupus.
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.