Dejing Pan

923 total citations
35 papers, 669 citations indexed

About

Dejing Pan is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Dejing Pan has authored 35 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Biomedical Engineering and 9 papers in Immunology. Recurrent topics in Dejing Pan's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and 3D Printing in Biomedical Research (5 papers). Dejing Pan is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and 3D Printing in Biomedical Research (5 papers). Dejing Pan collaborates with scholars based in China, Switzerland and United States. Dejing Pan's co-authors include Maryellen Ruvolo, Sarah Zehr, Tony L. Goldberg, Todd R. Disotell, Zhen Zhu, Jonathan Y. Lin, Bong‐Soon Chang, Janice Ching Lai, Yoshikuni Nagamine and Zehuan Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Dejing Pan

35 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejing Pan China 14 261 153 115 95 81 35 669
Yung‐Chih Lai Taiwan 17 369 1.4× 68 0.4× 115 1.0× 10 0.1× 30 0.4× 46 911
Daniel Monteyne Belgium 13 365 1.4× 55 0.4× 226 2.0× 10 0.1× 48 0.6× 24 794
Irina Kolotuev France 20 653 2.5× 380 2.5× 155 1.3× 10 0.1× 48 0.6× 36 1.6k
Tetsuya Bando Japan 18 595 2.3× 17 0.1× 229 2.0× 20 0.2× 56 0.7× 53 1.0k
Esther Lizano Spain 11 375 1.4× 15 0.1× 101 0.9× 19 0.2× 29 0.4× 27 546
Adam Brown United States 10 337 1.3× 30 0.2× 46 0.4× 18 0.2× 92 1.1× 19 493
Udo Koehler Germany 18 474 1.8× 43 0.3× 487 4.2× 97 1.0× 15 0.2× 44 985
Katrin Martin Germany 10 642 2.5× 121 0.8× 144 1.3× 31 0.3× 96 1.2× 16 1.0k
Oscar A. Tarazona United States 12 393 1.5× 42 0.3× 89 0.8× 9 0.1× 18 0.2× 16 642
Jim Cummins Australia 7 383 1.5× 81 0.5× 228 2.0× 33 0.3× 13 0.2× 10 1.1k

Countries citing papers authored by Dejing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dejing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejing Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Dejing Pan. A scholar is included among the top collaborators of Dejing Pan 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 Dejing Pan. Dejing Pan 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
1.
Yang, Jiao, Hong Zhang, Yuanshuai Zhou, et al.. (2024). Nucleophosmin 1 promotes mucosal immunity by supporting mitochondrial oxidative phosphorylation and ILC3 activity. Nature Immunology. 25(9). 1565–1579. 8 indexed citations
2.
Wang, Yingying, Zhen Zhu, Ke Liu, et al.. (2022). A high-throughput microfluidic diploid yeast long-term culturing (DYLC) chip capable of bud reorientation and concerted daughter dissection for replicative lifespan determination. Journal of Nanobiotechnology. 20(1). 171–171. 7 indexed citations
3.
Zhang, Feng, Kai-Yun Qu, Bin Zhou, et al.. (2021). Design and fabrication of an integrated heart-on-a-chip platform for construction of cardiac tissue from human iPSC-derived cardiomyocytes and in situ evaluation of physiological function. Biosensors and Bioelectronics. 179. 113080–113080. 60 indexed citations
4.
Zhu, Zhen, Yingying Wang, Pan Chen, et al.. (2021). A microfluidic single-cell array for in situ laminar-flow-based comparative culturing of budding yeast cells. Talanta. 231. 122401–122401. 9 indexed citations
5.
Xu, Xingyu, Zhen Zhu, Yingying Wang, et al.. (2021). Investigation of daughter cell dissection coincidence of single budding yeast cells immobilized in microfluidic traps. Analytical and Bioanalytical Chemistry. 413(8). 2181–2193. 7 indexed citations
6.
7.
Xu, Ying & Dejing Pan. (2018). Interpretation of the Nobel Prize in Physiology or Medicine 2017. Science China Life Sciences. 61(1). 131–134. 2 indexed citations
8.
Pan, Dejing, et al.. (2018). Effects of Vanillin on cucumber (Cucumis sativus L.) seedling rhizosphere Bacillus and Pseudomonas spp. community structures. Allelopathy Journal. 43(2). 255–264. 3 indexed citations
9.
Xiao, Qi, Guoxin Zhang, Huijuan Wang, et al.. (2017). A p53-based genetic tracing system to follow postnatal cardiomyocyte expansion in heart regeneration. Development. 144(4). 580–589. 15 indexed citations
10.
Zhu, Zhen, et al.. (2016). Investigation of geometry-dependent sensing characteristics of microfluidic electrical impedance spectroscopy through modeling and simulation. Sensors and Actuators B Chemical. 235. 515–524. 20 indexed citations
11.
Xing, Lijuan, Yang An, Guangsen Shi, et al.. (2016). Correlated evolution between CK1δ Protein and the Serine-rich Motif Contributes to Regulating the Mammalian Circadian Clock. Journal of Biological Chemistry. 292(1). 161–171. 1 indexed citations
12.
Nie, Junwei, Mingyang Jiang, Xiaotian Zhang, et al.. (2015). Post-transcriptional Regulation of Nkx2-5 by RHAU in Heart Development. Cell Reports. 13(4). 723–732. 63 indexed citations
13.
Li, Yunfeng, Barbara Setlow, Sonali Ghosh, et al.. (2014). Function of the SpoVAEa and SpoVAF Proteins of Bacillus subtilis Spores. Journal of Bacteriology. 196(11). 2077–2088. 29 indexed citations
14.
Lai, Janice Ching, Dejing Pan, Hubertus Kohler, et al.. (2012). The DEAH-box helicase RHAU is an essential gene and critical for mouse hematopoiesis. Blood. 119(18). 4291–4300. 43 indexed citations
15.
Fu, Yao, Zehuan Liu, Jun Lin, et al.. (2003). HLA‐DRB1, DQB1 and DPB1 polymorphism in the Naxi ethnic group of South‐western China. Tissue Antigens. 61(2). 179–183. 19 indexed citations
16.
Liu, Zehuan, et al.. (2003). Extensive polymorphism and different evolutionary patterns of intron 2 were identified in the HLA-DQB1 gene. Immunogenetics. 54(11). 761–766. 13 indexed citations
17.
Fu, Yonggui, Wenjing Chen, Zehuan Liu, et al.. (2002). A novel HLA‐DQB1 allele, DQB1*05022, isolated from the Jing ethnic group in South‐west China. Tissue Antigens. 60(1). 102–103. 4 indexed citations
18.
Lin, Jun, Zehuan Liu, Zhilong Jia, et al.. (2002). A novel DRB1*09 allelic sequence in the Jing ethnic minority of China. European Journal of Immunogenetics. 29(4). 335–336. 7 indexed citations
19.
Liu, Zehuan, et al.. (2002). HLA‐DPB1 allelic frequency of the Pumi ethnic group in south‐west China and evolutionary relationship of Pumi with other populations. European Journal of Immunogenetics. 29(3). 259–261. 12 indexed citations
20.
Fu, Yonggui, Dejing Pan, Zehuan Liu, et al.. (2002). [Determination of HLA-DRB1 gene polymorphism by PCR-SBT in Lahu ethnic group of Yunnan, China].. PubMed. 24(2). 131–6. 10 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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