Long Ding

406 total citations
13 papers, 252 citations indexed

About

Long Ding is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Long Ding has authored 13 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Long Ding's work include Lipid metabolism and biosynthesis (3 papers), Fibroblast Growth Factor Research (2 papers) and Mitochondrial Function and Pathology (2 papers). Long Ding is often cited by papers focused on Lipid metabolism and biosynthesis (3 papers), Fibroblast Growth Factor Research (2 papers) and Mitochondrial Function and Pathology (2 papers). Long Ding collaborates with scholars based in China, United States and Germany. Long Ding's co-authors include Xun Huang, Xiao Yang, Jingjing Liang, Mei Ding, Guanghou Shui, Yingchun Wang, Yan Yao, He Tian, Guodong Wang and Fengxia Zhang and has published in prestigious journals such as Science, The EMBO Journal and Annals of Oncology.

In The Last Decade

Long Ding

11 papers receiving 251 citations

Peers

Long Ding

MB

CR

BIOCH

ONCOL

GENET

Jelmi uit de Bos Netherlands

Deniz Senyilmaz Germany

M.‐C. Farges France

Brian D. Reed United States

Xiuli Huang United States

Annamarie E. Allen United States

Jill B. Graham United States

Jinling Li China

Gregory Gauthier-Coles Australia

R. Mako Saito United States

Jelmi uit de Bos Netherlands

Long Ding

270 ×2.0

MB

51 ×1.1

CR

43 ×1.0

BIOCH

37 ×1.0

ONCOL

23 ×0.7

GENET

Citations per year, relative to Long Ding Long Ding (= 1×) peers Jelmi uit de Bos

Countries citing papers authored by Long Ding

Since Specialization

Citations

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

Fields of papers citing papers by Long Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Long Ding. A scholar is included among the top collaborators of Long Ding 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 Long Ding. Long Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Li, Hao, Zhuo Wang, Long Ding, Jiaxiang Zhang, & Guohua Wang. (2025). The facts about the effects of pedagogical agents on learners’ cognitive load: a meta-analysis based on 24 studies. Frontiers in Psychology. 16. 1635465–1635465.

2.

Chen, Lawrence R., et al.. (2024). [Comparison of prognosis of elderly patients with gastric and colorectal tumors receiving different nutritional support treatments].. PubMed. 104(33). 3130–3135. 1 indexed citations

3.

Yan, Hua, Comzit Opachaloemphan, Giacomo Mancini, et al.. (2022). Insulin signaling in the long-lived reproductive caste of ants. Science. 377(6610). 1092–1099. 32 indexed citations

4.

Xu, Mengyao, Long Ding, Jingjing Liang, et al.. (2021). NAD kinase sustains lipogenesis and mitochondrial metabolismthrough fatty acid synthesis. Cell Reports. 37(13). 110157–110157. 19 indexed citations

5.

Shields, Emily, et al.. (2021). Genome annotation with long RNA reads reveals new patterns of gene expression and improves single-cell analyses in an ant brain. BMC Biology. 19(1). 254–254. 17 indexed citations

6.

Xu, Nong, Chenyu Mao, Gang Cheng, et al.. (2021). 1711P Real-world study of mecapegfilgrastim in preventing neutropenia in patients with gastrointestinal tumors. Annals of Oncology. 32. S1191–S1191.

7.

Yang, Xiao, Jingjing Liang, Long Ding, et al.. (2019). Phosphatidylserine synthase regulates cellular homeostasis through distinct metabolic mechanisms. PLoS Genetics. 15(12). e1008548–e1008548. 26 indexed citations

8.

Yao, Yan, Long Ding, & Xun Huang. (2019). Diverse Functions of Lipids and Lipid Metabolism in Development. Small Methods. 4(7). 24 indexed citations

9.

Ding, Long, Xiao Yang, He Tian, et al.. (2018). Seipin regulates lipid homeostasis by ensuring calcium‐dependent mitochondrial metabolism. The EMBO Journal. 37(17). 64 indexed citations

10.

Ding, Long, et al.. (2015). Bile acid promotes liver regeneration via farnesoid X receptor signaling pathways in rats. Molecular Medicine Reports. 11(6). 4431–4437. 10 indexed citations

11.

Cheng, Zhuoxin, Dawei Wang, Tao Liu, et al.. (2014). Effects of the HIF-1α and NF-κB loop on epithelial-mesenchymal transition and chemoresistance induced by hypoxia in pancreatic cancer cells. Oncology Reports. 31(4). 1891–1898. 57 indexed citations

12.

Ding, Long, et al.. (2014). miR-22 expression in hepatocellular carcinoma: Correlation with E-cadherin and Vimentin expression. World Chinese Journal of Digestology. 22(21). 3142–3142. 1 indexed citations

13.

Ding, Long, et al.. (1999). [Isolation and identification of a saponine from Patrinia scabiosaefolia].. PubMed. 22(4). 189–90. 1 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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