Ami Goradia
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Retinoids in leukemia and cellular processes 2
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Mariusz A. Wasik (2 shared papers)Michele Paessler (1 shared paper)Puthiyaveettil N. Raghunath (1 shared paper)Xiaobin Liu (1 shared paper)Bruce Ruggeri (1 shared paper)Maria Wysocka (1 shared paper)Qian Zhang (1 shared paper)Michał Marzec (1 shared paper)
- Journals
- American Journal of Clinical Pathology (2 papers)Clinical Cancer Research (1 paper)Cancer Biology & Therapy (1 paper)Genes & Development (1 paper)Proceedings of the National Academy of Sciences (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 66
- Oncology 499
- Cell Biology 250
- Immunology 300
- Pathology and Forensic Medicine 175
- Molecular Biology 427
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 | 615 |
| 2 | 2001 | 258 | |
| 3 | 2007 | 109 | |
| 4 | 2007 | 30 | |
| 5 | 2008 | 29 | |
| 6 | 2009 | 23 | |
| 7 | The 8p11 myeloproliferative syndrome: review of literature and an illustrative case report. | 2008 | 22 |
| 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, Oncology, Hematology 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), Sarcoma Diagnosis and Treatment (2 papers), Retinoids in leukemia and cellular processes (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Eosinophilic Disorders and Syndromes (2 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Oncology (499 citations), Cell Biology (250 citations), Immunology (300 citations), Pathology and Forensic Medicine (175 citations) and Molecular Biology (427 citations). Ami Goradia has collaborated with scholars based in United States and Australia. Frequent co-authors include Mariusz A. Wasik, Michele Paessler, Puthiyaveettil N. Raghunath, Xiaobin Liu, Bruce Ruggeri, Maria Wysocka, Qian Zhang, Michał Marzec, Mangeng Cheng and Hong Yi Wang. Their work appears in journals such as American Journal of Clinical Pathology, Clinical Cancer Research, Cancer Biology & Therapy, Genes & Development and Proceedings of the National Academy of Sciences.
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.