Ami Goradia
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Retinoids in leukemia and cellular processes 2
- Histone Deacetylase Inhibitors Research 1
-
- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Mariusz A. Wasik (2 shared papers)Bruce Ruggeri (1 shared paper)Hong Yi Wang (1 shared paper)Qian Zhang (1 shared paper)Xiaobin Liu (1 shared paper)Michele Paessler (1 shared paper)Mangeng Cheng (1 shared paper)Michał Marzec (1 shared paper)
- Journals
- American Journal of Clinical Pathology (2 papers)Molecular Biology of the Cell (1 paper)Clinical Cancer Research (1 paper)Genes & Development (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Ami Goradia
10 papers receiving 1.1k citations
Ami Goradia's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 543
- Immunology 334
- Cell Biology 248
- Pathology and Forensic Medicine 184
- Molecular Biology 436
Countries citing papers authored by Ami Goradia
This map shows the geographic impact of Ami Goradia'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 Ami Goradia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami Goradia more than expected).
Fields of papers citing papers by Ami Goradia
This network shows the impact of papers produced by Ami Goradia. 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 Ami Goradia. The network helps show where Ami Goradia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ami Goradia, 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 | Oncogenic kinase NPM/ALK induces through STAT3 expression of immunosuppressive protein CD274 (PD-L1, B7-H1) Hit paper breakdown → | 2008 | 597 |
| 2 | 2001 | 251 | |
| 3 | 2007 | 106 | |
| 4 | 2008 | 29 | |
| 5 | 2007 | 28 | |
| 6 | 2009 | 23 | |
| 7 | The 8p11 myeloproliferative syndrome: review of literature and an illustrative case report. | 2008 | 21 |
| 8 | 2008 | 7 | |
| 9 | 2007 | 6 | |
| 10 | 2006 | 3 |
About Ami Goradia
Ami Goradia is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Hematology, Oncology and Neurology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Immune Cell Function and Interaction (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Oncology (543 citations), Immunology (334 citations), Cell Biology (248 citations), Pathology and Forensic Medicine (184 citations) and Molecular Biology (436 citations). Ami Goradia has collaborated with scholars based in United States and Australia. Frequent co-authors include Mariusz A. Wasik, Bruce Ruggeri, Hong Yi Wang, Qian Zhang, Xiaobin Liu, Michele Paessler, Mangeng Cheng, Michał Marzec, Puthiyaveettil N. Raghunath and Maria Wysocka. Their work appears in journals such as American Journal of Clinical Pathology, Molecular Biology of the Cell, Clinical Cancer Research, Genes & Development and Cancer Biology & Therapy.
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.