Dongping He

3.5k total citations · 1 hit paper
30 papers, 2.6k citations indexed

About

Dongping He is a scholar working on Molecular Biology, Hematology and Analytical Chemistry. According to data from OpenAlex, Dongping He has authored 30 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Hematology and 5 papers in Analytical Chemistry. Recurrent topics in Dongping He's work include Spectroscopy and Chemometric Analyses (5 papers), Pluripotent Stem Cells Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Dongping He is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Pluripotent Stem Cells Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Dongping He collaborates with scholars based in United States, China and United Kingdom. Dongping He's co-authors include Nobuko Uchida, Michael J. Reitsma, Irving L. Weissman, Ann Tsukamoto, Fred H. Gage, David Buck, Anna Masek, Annabelle M. Friera, Richard E. Sutton and Roland Scollay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Annals of the New York Academy of Sciences.

In The Last Decade

Dongping He

30 papers receiving 2.6k citations

Hit Papers

Direct isolation of human central nervous system stem cells 2000 2026 2008 2017 2000 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dongping He United States 12 1.4k 772 633 620 347 30 2.6k
Ann Tsukamoto United States 26 2.3k 1.6× 781 1.0× 693 1.1× 1.0k 1.6× 569 1.6× 38 3.9k
Michael J. Reitsma United States 12 2.3k 1.6× 785 1.0× 1.6k 2.5× 816 1.3× 624 1.8× 15 4.4k
Joseph Najbauer United States 26 1.4k 1.0× 367 0.5× 618 1.0× 852 1.4× 347 1.0× 41 2.6k
Lingna Li United States 27 1.5k 1.1× 380 0.5× 279 0.4× 482 0.8× 541 1.6× 80 3.5k
Hugo Guerrero‐Cazares United States 36 1.8k 1.3× 444 0.6× 1.1k 1.7× 554 0.9× 266 0.8× 90 3.6k
Tomoko Nakanishi Japan 4 1.3k 0.9× 303 0.4× 412 0.7× 215 0.3× 494 1.4× 9 2.5k
Andrea Hellwig Germany 29 1.6k 1.1× 346 0.4× 165 0.3× 546 0.9× 179 0.5× 44 2.7k
Mandar D. Muzumdar United States 14 2.9k 2.0× 478 0.6× 192 0.3× 713 1.1× 621 1.8× 21 4.5k
Tracy‐Ann Read United States 21 1.7k 1.2× 321 0.4× 823 1.3× 643 1.0× 200 0.6× 39 2.8k
Kazuhiko Kurozumi Japan 26 1.4k 1.0× 389 0.5× 1.3k 2.0× 756 1.2× 796 2.3× 109 3.1k

Countries citing papers authored by Dongping He

Since Specialization
Citations

This map shows the geographic impact of Dongping He'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 Dongping He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongping He more than expected).

Fields of papers citing papers by Dongping He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongping He. 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 Dongping He. The network helps show where Dongping He may publish in the future.

Co-authorship network of co-authors of Dongping He

This figure shows the co-authorship network connecting the top 25 collaborators of Dongping He. A scholar is included among the top collaborators of Dongping He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongping He. Dongping He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yan, Ke, Mingjie Li, J. Huang, et al.. (2025). Development and stability assessment of Arachidonic acid nanoemulsions stabilized by sodium caseinate-gum arabic complexes. LWT. 229. 118170–118170. 1 indexed citations
4.
Jiang, Xiaoming, Chao Chang, Pan Gao, et al.. (2025). Comparative analysis of cold-pressed and hot-pressed coconut oil extraction: Implications for quality and antioxidant capacity. LWT. 221. 117614–117614. 3 indexed citations
5.
Wei, Yang, et al.. (2019). Comparative removal of aflatoxin B1 from peanut oil by four different methods.. Shipin Kexue / Food Science. 40(22). 339–346. 1 indexed citations
6.
Zhang, Ni, et al.. (2018). Properties and nutritional substances changes of Xanthoceras sorbifolia Bunge oil at cooking temperature.. Zhongguo youzhi. 43(4). 33–36. 2 indexed citations
7.
Neagoe, Ioana, Chang Liu, Alexander Stumpf, et al.. (2018). The GluN2B subunit represents a major functional determinant of NMDA receptors in human induced pluripotent stem cell-derived cortical neurons. Stem Cell Research. 28. 105–114. 8 indexed citations
8.
Dong, Wei, Qianqian Chen, Yihong Hu, et al.. (2016). Epidemiological and clinical characteristics of respiratory viral infections in children in Shanghai, China. Archives of Virology. 161(7). 1907–1913. 25 indexed citations
9.
He, Dongping, et al.. (2015). [Association between parainfluenza virus infection and climatic factors in children].. PubMed. 17(12). 1297–300. 3 indexed citations
10.
He, Dongping. (2013). Fungus age of Mortierella alpina protoplast. Zhongguo youzhi. 1 indexed citations
11.
He, Dongping, et al.. (2010). Determ ination of low-boiling halogenated hydrocarbons in edible oils by headspace gas chromatography. Zhongguo youzhi. 35(8). 76–79. 1 indexed citations
12.
Tamaki, Stanley, Yakop Jacobs, Monika Dohse, et al.. (2009). Neuroprotection of Host Cells by Human Central Nervous System Stem Cells in a Mouse Model of Infantile Neuronal Ceroid Lipofuscinosis. Cell stem cell. 5(3). 310–319. 97 indexed citations
13.
Guzman, Raphaël, Nobuko Uchida, Tonya Bliss, et al.. (2007). Long-term monitoring of transplanted human neural stem cells in developmental and pathological contexts with MRI. Proceedings of the National Academy of Sciences. 104(24). 10211–10216. 260 indexed citations
14.
Baiker, Armin, Klaus Fabel, Antonio Cozzio, et al.. (2004). Varicella-zoster virus infection of human neural cells in vivo. Proceedings of the National Academy of Sciences. 101(29). 10792–10797. 33 indexed citations
15.
Tamaki, Stanley, Karl Eckert, Dongping He, et al.. (2002). Engraftment of sorted/expanded human central nervous system stem cells from fetal brain. Journal of Neuroscience Research. 69(6). 976–986. 186 indexed citations
16.
Uchida, Naoyuki, Dongping He, Michael J. Reitsma, et al.. (1999). Direct isolation of human neural stem cells from fetal brain by cell sorting. The Society for Neuroscience Abstracts. 25. 1767. 3 indexed citations
17.
Deschaseaux, Frédéric, Nobuko Uchida, Marie-Claude Labastie, et al.. (1999). HCA, an Immunoglobulin-Like Adhesion Molecule Present on the Earliest Human Hematopoietic Precursor Cells, Is Also Expressed by Stromal Cells in Blood-Forming Tissues. Blood. 93(3). 826–837. 15 indexed citations
18.
Uchida, Nobuko, Annabelle M. Friera, Dongping He, et al.. (1997). Hydroxyurea Can Be Used to Increase Mouse c-kit+Thy-1.1loLin−/loSca-1+ Hematopoietic Cell Number and Frequency in Cell Cycle In Vivo. Blood. 90(11). 4354–4362. 27 indexed citations
19.
Uchida, Nobuko, Annabelle M. Friera, Dongping He, et al.. (1997). Hydroxyurea Can Be Used to Increase Mouse c-kit+Thy-1.1loLin−/loSca-1+ Hematopoietic Cell Number and Frequency in Cell Cycle In Vivo. Blood. 90(11). 4354–4362. 3 indexed citations
20.
Mahley, Robert W., et al.. (1994). Role of Heparan Sulfate Proteoglycans and the LDL Receptor‐Related Protein in Remnant Lipoprotein Metabolisma. Annals of the New York Academy of Sciences. 737(1). 39–52. 54 indexed citations

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.

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