Haiting Ma
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
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- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- HER2/EGFR in Cancer Research
Papers in
-
- Lipid metabolism and biosynthesis 3
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- Pluripotent Stem Cells Research 2
- Fungal and yeast genetics research 2
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Rudolf Jaenisch (6 shared papers)Robert J. Coffey (4 shared papers)Cunxi Li (3 shared papers)Alina Starchenko (3 shared papers)Lilianna Solnica‐Krezel (2 shared papers)Mingchun Li (3 shared papers)Laijun Xing (2 shared papers)Mary Kay Washington (2 shared papers)
- Journals
- Cell stem cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (1 paper)FEBS Letters (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Haiting Ma
15 papers receiving 396 citations
Peers
Comparison fields: 5 of 56
- Biochemistry 49
- Oncology 74
- Molecular Biology 154
- Cancer Research 31
- Developmental Neuroscience 5
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 | 108 | |
| 2 | 2003 | 54 | |
| 3 | 2017 | 43 | |
| 4 | 2017 | 41 | |
| 5 | 2011 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 33 | |
| 8 | 2020 | 20 | |
| 9 | 2022 | 16 | |
| 10 | [Cloning and heterologous expression of a novel delta6 -desaturase gene from Rhizopus arrhizus NK030037]. | 2004 | 3 |
| 11 | 2022 | 3 | |
| 12 | 2013 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 2 | |
| 15 | Influence of sequence modification flanking AUG codon on #DELTA#~(6)-fatty acid desaturase gene expression | 2004 | 1 |
About Haiting Ma
Haiting Ma is a scholar working on Biochemistry, Molecular Biology, Oncology, Neurology and Physiology, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (3 papers), Pluripotent Stem Cells Research (2 papers), Fungal and yeast genetics research (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), Cancer Cells and Metastasis (1 paper), Pancreatic function and diabetes (1 paper), Diabetes and associated disorders (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Biochemistry (49 citations), Oncology (74 citations), Molecular Biology (154 citations), Cancer Research (31 citations) and Developmental Neuroscience (5 citations). Haiting Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rudolf Jaenisch, Robert J. Coffey, Cunxi Li, Alina Starchenko, Lilianna Solnica‐Krezel, Mingchun Li, Laijun Xing, Mary Kay Washington, Ramona Graves‐Deal and Gregory Daniel Ayers. Their work appears in journals such as Cell stem cell, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, FEBS Letters and Cell Reports.
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.