Mohammed Lilo
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Dermatology top 10%
- Cancer and Skin Lesions
Papers in
- Oncology 7
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 2
- Polyomavirus and related diseases 2
- Co-authors
- Robert E. LeBlancEvan J. LipsonJanis M. TaubeJessica EsandrioAleksandra OgurtsovaYoudinghuan ChenHaiying XuWilliam H. Sharfman
- Journals
- Cancer Cytopathology (3 papers)American Journal of Dermatopathology (2 papers)Acta Cytologica (2 papers)Diagnostic Cytopathology (2 papers)Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesLebanonTaiwan
In The Last Decade
Mohammed Lilo
19 papers receiving 491 citations
Peers
Comparison fields: 5 of 59
- Oncology 318
- Dermatology 57
- Immunology 124
- Epidemiology 140
- Ophthalmology 26
Countries citing papers authored by Mohammed Lilo
This map shows the geographic impact of Mohammed Lilo'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 Mohammed Lilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Lilo more than expected).
Fields of papers citing papers by Mohammed Lilo
This network shows the impact of papers produced by Mohammed Lilo. 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 Mohammed Lilo. The network helps show where Mohammed Lilo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammed Lilo, 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 | 2020 | 9 | |
| 2 | 2019 | 3 | |
| 3 | 2018 | 63 | |
| 4 | 2018 | 2 | |
| 5 | 2017 | 13 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 115 | |
| 8 | 2017 | 14 | |
| 9 | 2017 | 12 | |
| 10 | 2017 | 157 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 19 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 5 | |
| 15 | 2015 | 21 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 22 | |
| 19 | Toxic epidermal necrolysis. | 2014 | 1 |
About Mohammed Lilo
Mohammed Lilo is a scholar working on Toxicology, Oncology, Dermatology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 500 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Head and Neck Anomalies (2 papers), CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Polyomavirus and related diseases (2 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (318 citations), Dermatology (57 citations), Immunology (124 citations), Epidemiology (140 citations) and Ophthalmology (26 citations). Mohammed Lilo has collaborated with scholars based in United States, Lebanon and Taiwan. Frequent co-authors include Robert E. LeBlanc, Evan J. Lipson, Janis M. Taube, Jessica Esandrio, Aleksandra Ogurtsova, Youdinghuan Chen, Haiying Xu, William H. Sharfman, Megan D. Schollenberger and Derek B. Allison. Their work appears in journals such as Cancer Cytopathology, American Journal of Dermatopathology, Acta Cytologica, Diagnostic Cytopathology and Journal of Clinical Pathology.
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.