Haiting Ma
Impact in
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- Cancer Cells and Metastasis
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- Kruppel-like factors research 1
- Co-authors
- Robert J. Coffey (4 shared papers)Rudolf Jaenisch (4 shared papers)Cunxi Li (3 shared papers)Alina Starchenko (3 shared papers)Ramona Graves‐Deal (2 shared papers)M. Kay Washington (2 shared papers)Gregory D. Ayers (2 shared papers)Jacob Jeppesen (2 shared papers)
- Journals
- Cell stem cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)International Journal of Cardiology (1 paper)Cell Reports (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Haiting Ma
14 papers receiving 304 citations
Peers
Comparison fields: 5 of 60
- Oncology 84
- Cancer Research 44
- Molecular Biology 190
- Hepatology 17
- Immunology 32
Countries citing papers authored by Haiting Ma
This map shows the geographic impact of Haiting Ma'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 Haiting Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiting Ma more than expected).
Fields of papers citing papers by Haiting Ma
This network shows the impact of papers produced by Haiting Ma. 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 Haiting Ma. The network helps show where Haiting Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiting Ma, 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 | 2014 | 99 | |
| 2 | 2011 | 37 | |
| 3 | 2017 | 35 | |
| 4 | 2017 | 35 | |
| 5 | 2018 | 30 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 15 | |
| 9 | [Progress on molecular biology of delta6-fatty acid desaturases]. | 2004 | 2 |
| 10 | 2013 | 2 | |
| 11 | [Cloning and heterologous expression of a novel delta6 -desaturase gene from Rhizopus arrhizus NK030037]. | 2004 | 2 |
| 12 | 2015 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2016 | 1 |
About Haiting Ma
Haiting Ma is a scholar working on Molecular Biology, Immunology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Advanced X-ray and CT Imaging (2 papers), Liver physiology and pathology (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), Cardiac Imaging and Diagnostics (2 papers), Kruppel-like factors research (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Oncology (84 citations), Cancer Research (44 citations), Molecular Biology (190 citations), Hepatology (17 citations) and Immunology (32 citations). Haiting Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Robert J. Coffey, Rudolf Jaenisch, Cunxi Li, Alina Starchenko, Ramona Graves‐Deal, M. Kay Washington, Gregory D. Ayers, Jacob Jeppesen, Yang Wang and Vidya Kamath. Their work appears in journals such as Cell stem cell, Proceedings of the National Academy of Sciences, International Journal of Cardiology, Cell Reports and Cell Reports Medicine.
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.