Eric Mou
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 14
- Oncology 9
- CAR-T cell therapy research 6
- Co-authors
- Andrew M. Evens (7 shared papers)Ranjana H. Advani (4 shared papers)Leo I. Gordon (4 shared papers)Reem Karmali (3 shared papers)Barbara Pro (4 shared papers)Gary Dillehay (3 shared papers)Jane N. Winter (4 shared papers)Hatice Savas (4 shared papers)
- Journals
- Blood (9 papers)Journal of Clinical Oncology (5 papers)Blood Advances (3 papers)American Journal of Clinical Pathology (1 paper)Hematological Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Eric Mou
24 papers receiving 242 citations
Peers
Comparison fields: 5 of 44
- Pathology and Forensic Medicine 159
- Internal Medicine 12
- Oncology 94
- Neurology 48
- Genetics 27
Countries citing papers authored by Eric Mou
This map shows the geographic impact of Eric Mou'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 Eric Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Mou more than expected).
Fields of papers citing papers by Eric Mou
This network shows the impact of papers produced by Eric Mou. 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 Eric Mou. The network helps show where Eric Mou may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Mou, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2022 | 24 | |
| 3 | 2022 | 23 | |
| 4 | 2017 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2019 | 1 |
About Eric Mou
Eric Mou is a scholar working on Pathology and Forensic Medicine, Oncology, Epidemiology, Cancer Research and Dermatology, having authored 29 papers that have together received 243 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (6 papers), Cancer Genomics and Diagnostics (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (159 citations), Internal Medicine (12 citations), Oncology (94 citations), Neurology (48 citations) and Genetics (27 citations). Eric Mou has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Andrew M. Evens, Ranjana H. Advani, Leo I. Gordon, Reem Karmali, Barbara Pro, Gary Dillehay, Jane N. Winter, Hatice Savas, Pamela B. Allen and Robert Bayer. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, American Journal of Clinical Pathology and Hematological Oncology.
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.