Daniel D. Mais
Impact in
- Dermatology top 5%
- Cancer and Skin Lesions
Papers in
- Oncology 7
-
- Microscopic Colitis 2
- Fungal Infections and Studies 2
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Kenneth Kist (2 shared papers)Hamza Alizai (1 shared paper)N. C. Dornbluth (2 shared papers)Alia Nazarullah (7 shared papers)David F. Keren (2 shared papers)Kazunori Yamamoto (1 shared paper)Brian P. Mulhall (1 shared paper)Christine Liang (1 shared paper)
- Journals
- Archives of Pathology & Laboratory Medicine (6 papers)American Journal of Clinical Pathology (5 papers)Journal of Clinical Microbiology (1 paper)Journal of Clinical Oncology (1 paper)Radiographics (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel D. Mais
23 papers receiving 356 citations
Peers
Comparison fields: 5 of 72
- Microbiology 7
- Dermatology 77
- Pathology and Forensic Medicine 120
- Gastroenterology 25
- Genetics 34
Countries citing papers authored by Daniel D. Mais
This map shows the geographic impact of Daniel D. Mais'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 Daniel D. Mais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Mais more than expected).
Fields of papers citing papers by Daniel D. Mais
This network shows the impact of papers produced by Daniel D. Mais. 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 Daniel D. Mais. The network helps show where Daniel D. Mais may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Mais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 103 | |
| 2 | 2020 | 39 | |
| 3 | 1999 | 38 | |
| 4 | 2009 | 32 | |
| 5 | 2000 | 24 | |
| 6 | 2019 | 21 | |
| 7 | 2021 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2000 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2007 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 2 | |
| 20 | Quick Compendium of Clinical Pathology | 1993 | 2 |
About Daniel D. Mais
Daniel D. Mais is a scholar working on Oncology, Epidemiology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 359 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (4 papers), Microscopic Colitis (2 papers), Metastasis and carcinoma case studies (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Fungal Infections and Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Microbiology (7 citations), Dermatology (77 citations), Pathology and Forensic Medicine (120 citations), Gastroenterology (25 citations) and Genetics (34 citations). Daniel D. Mais has collaborated with scholars based in United States. Frequent co-authors include Kenneth Kist, Hamza Alizai, N. C. Dornbluth, Alia Nazarullah, David F. Keren, Kazunori Yamamoto, Brian P. Mulhall, Christine Liang, Russell A. Higgins and William Williard. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology, Journal of Clinical Microbiology, Journal of Clinical Oncology and Radiographics.
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.