ML Disis
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Virology top 10%
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 13
- Reproductive System and Pregnancy 2
-
- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- H. Bernhard (3 shared papers)Steven Gillis (2 shared papers)JR Gralow (2 shared papers)Martin A. Cheever (1 shared paper)Julie R. Gralow (1 shared paper)Susan L. Hand (1 shared paper)Jennifer S. Childs (6 shared papers)Casey Cunningham (2 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Cancer Research (6 papers)Blood (2 papers)International Journal of Gynecological Cancer (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
ML Disis
19 papers receiving 688 citations
Peers
Comparison fields: 5 of 55
- Immunology 579
- Virology 42
- Oncology 229
- Radiology, Nuclear Medicine and Imaging 184
- Molecular Biology 264
Countries citing papers authored by ML Disis
This map shows the geographic impact of ML Disis'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 ML Disis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ML Disis more than expected).
Fields of papers citing papers by ML Disis
This network shows the impact of papers produced by ML Disis. 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 ML Disis. The network helps show where ML Disis may publish in the future.
Co-authors
The 25 scholars most cited alongside ML Disis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 260 | |
| 2 | 1996 | 227 | |
| 3 | 1996 | 158 | |
| 4 | 2015 | 9 | |
| 5 | 2008 | 7 | |
| 6 | 2016 | 7 | |
| 7 | 2017 | 7 | |
| 8 | 2005 | 4 | |
| 9 | 2004 | 3 | |
| 10 | 2008 | 2 | |
| 11 | 2006 | 2 | |
| 12 | 2012 | 2 | |
| 13 | 2004 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2004 | 2 | |
| 16 | 2006 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2008 | 1 |
About ML Disis
ML Disis is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Cancer Research, having authored 20 papers that have together received 699 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), vaccines and immunoinformatics approaches (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Research and Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Immunology (579 citations), Virology (42 citations), Oncology (229 citations), Radiology, Nuclear Medicine and Imaging (184 citations) and Molecular Biology (264 citations). ML Disis has collaborated with scholars based in United States. Frequent co-authors include H. Bernhard, Steven Gillis, JR Gralow, Martin A. Cheever, Julie R. Gralow, Susan L. Hand, Jennifer S. Childs, Casey Cunningham, John Fikes and Glenn Ishioka. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Blood, International Journal of Gynecological Cancer and The Journal of Immunology.
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.