Hani Goodarzi
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.5%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- Circular RNAs in diseases
Papers in
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- Cancer-related molecular mechanisms research 14
-
- RNA modifications and cancer 43
- RNA Research and Splicing 34
- RNA and protein synthesis mechanisms 32
- Genomics and Phylogenetic Studies 12
- Single-cell and spatial transcriptomics 6
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 6
- Co-authors
- Sohail F. TavazoieClaudio R. AlarcónHyeseung LeeSaeed TavazoieXuhang LiuNils HalbergSteven ZhangLisa Fish
- Journals
- Cell Reports (7 papers)Nature (6 papers)Cell (5 papers)Nature Cell Biology (5 papers)Journal of Theoretical Biology (5 papers)
- Partner nations
- United StatesIranCanada
In The Last Decade
Hani Goodarzi
93 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cancer Research 3.0k
- Molecular Biology 6.2k
- Neurology 434
- Immunology 592
- Oncology 695
Countries citing papers authored by Hani Goodarzi
This map shows the geographic impact of Hani Goodarzi'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 Hani Goodarzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Goodarzi more than expected).
Fields of papers citing papers by Hani Goodarzi
This network shows the impact of papers produced by Hani Goodarzi. 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 Hani Goodarzi. The network helps show where Hani Goodarzi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hani Goodarzi, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 52 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 111 | |
| 14 | 2020 | 38 | |
| 15 | 2020 | 30 | |
| 16 | Virulence-associated genes and drug susceptibility patterns of uropathogenic Escherichia coli isolated from patients with urinary tract infection | 2019 | 1 |
| 17 | 2019 | 60 | |
| 18 | 2016 | 63 | |
| 19 | HNRNPA2B1 Is a Mediator of m6A-Dependent Nuclear RNA Processing Events Hit paper breakdown → | 2015 | 1188 |
| 20 | 2010 | 130 |
About Hani Goodarzi
Hani Goodarzi is a scholar working on Cancer Research, Molecular Biology, Genetics, Immunology and Computational Theory and Mathematics, having authored 98 papers that have together received 7.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (43 papers), RNA Research and Splicing (34 papers), RNA and protein synthesis mechanisms (32 papers), Cancer-related molecular mechanisms research (14 papers), Genomics and Phylogenetic Studies (12 papers), Single-cell and spatial transcriptomics (6 papers), CRISPR and Genetic Engineering (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Cancer Research (3.0k citations), Molecular Biology (6.2k citations), Neurology (434 citations), Immunology (592 citations) and Oncology (695 citations). Hani Goodarzi has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Sohail F. Tavazoie, Claudio R. Alarcón, Hyeseung Lee, Saeed Tavazoie, Xuhang Liu, Nils Halberg, Steven Zhang, Lisa Fish, Hoang C.B. Nguyen and Hamed S. Najafabadi. Their work appears in journals such as Cell Reports, Nature, Cell, Nature Cell Biology and Journal of Theoretical Biology.
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.