Daniel D. Mais

612 total citations
28 papers, 359 citations indexed

About

Daniel D. Mais is a scholar working on Oncology, Epidemiology and Surgery. According to data from OpenAlex, Daniel D. Mais has authored 28 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Daniel D. Mais's work include Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (4 papers) and Microscopic Colitis (2 papers). Daniel D. Mais is often cited by papers focused on Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (4 papers) and Microscopic Colitis (2 papers). Daniel D. Mais collaborates with scholars based in United States. Daniel D. Mais's co-authors include Kenneth Kist, N. C. Dornbluth, Hamza Alizai, Alia Nazarullah, David F. Keren, Brian P. Mulhall, Kazunori Yamamoto, Russell A. Higgins, Christine Liang and William Williard and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Daniel D. Mais

23 papers receiving 356 citations

Peers

Daniel D. Mais
Alison R. Huppmann United States
Daniel D. Mais
Citations per year, relative to Daniel D. Mais Daniel D. Mais (= 1×) peers Alison R. Huppmann

Countries citing papers authored by Daniel D. Mais

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel D. Mais

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Mais. A scholar is included among the top collaborators of Daniel D. Mais 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 Daniel D. Mais. Daniel D. Mais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
4.
Capitano, Maegan L., Aruna S. Jaiswal, Hal E. Broxmeyer, et al.. (2021). A humanized monoclonal antibody against the endothelial chemokine CCL21 for the diagnosis and treatment of inflammatory bowel disease. PLoS ONE. 16(7). e0252805–e0252805. 4 indexed citations
6.
Gilbert, Andrea, et al.. (2021). Correlation of cerebellar granular layer autolysis with ante-mortem systemic acid–base status. Cell and Tissue Banking. 22(3). 505–509. 1 indexed citations
7.
Mais, Daniel D., et al.. (2020). Histopathologic findings in culture-positive secondary osteomyelitis. Annals of Diagnostic Pathology. 50. 151661–151661.
8.
Nazarullah, Alia, et al.. (2020). Accuracy of Intraoperative Frozen Section in Detection of Acute Invasive Fungal Rhinosinusitis. Archives of Pathology & Laboratory Medicine. 145(6). 736–743. 9 indexed citations
9.
González, G., et al.. (2020). The impact of C4d testing on tissue adequacy in lung transplant surveillance. Annals of Diagnostic Pathology. 48. 151564–151564. 2 indexed citations
10.
Ritter, Jacob, et al.. (2020). Grossing Breast Cancer Specimens: A Comprehensive Review. 25(4). 148–155. 1 indexed citations
11.
Mais, Daniel D., et al.. (2020). A case of adrenocortical oncocytic carcinoma arising in ectopic adrenal tissue: a multidisciplinary diagnostic challenge. ecancermedicalscience. 14. 1135–1135. 3 indexed citations
12.
Nazarullah, Alia, et al.. (2020). Peripheral Blood Examination Findings in SARS-CoV-2 Infection. American Journal of Clinical Pathology. 154(3). 319–329. 39 indexed citations
13.
Mais, Daniel D., Barbara A. Crothers, Diane D. Davey, et al.. (2019). Trends in Thyroid Fine-Needle Aspiration Cytology Practices: Results From a College of American Pathologists 2016 Practice Survey. Archives of Pathology & Laboratory Medicine. 143(11). 1364–1372. 9 indexed citations
14.
Mais, Daniel D., et al.. (2019). Sensitivity and Specificity of Alzheimer Type II Astrocytes in Hepatic Encephalopathy. Archives of Pathology & Laboratory Medicine. 143(10). 1256–1258. 21 indexed citations
15.
Guidi, Anthony J., et al.. (2018). Breast Specimen Processing and Reporting With an Emphasis on Margin Evaluation: A College of American Pathologists Survey of 866 Laboratories. Archives of Pathology & Laboratory Medicine. 142(4). 496–506. 15 indexed citations
16.
Mais, Daniel D., et al.. (2017). Retroperitoneal lipo-leiomyomata in a woman with history of breast cancer and antiestrogen therapy.. Journal of Clinical Oncology. 35(15_suppl). e22542–e22542.
17.
Mais, Daniel D., et al.. (2007). Hemoglobin Ypsilanti. American Journal of Clinical Pathology. 128(5). 850–853. 4 indexed citations
18.
Williard, William, et al.. (2000). The incidence of intraductal papillary mucinous tumors of the pancreas. Current Surgery. 57(6). 610–614. 24 indexed citations
19.
Mais, Daniel D., et al.. (2000). Expression of nm23 antimetastatic gene product in head and neck squamous cell carcinoma. Otolaryngology. 122(1). 96–99. 5 indexed citations
20.
Mais, Daniel D., et al.. (1999). Thymoma-Associated Autoimmune Enteropathy: A Report of Two Cases. American Journal of Clinical Pathology. 112(6). 810–815. 38 indexed citations

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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