Xiaohong Jing

2.3k total citations
24 papers, 898 citations indexed

About

Xiaohong Jing is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Xiaohong Jing has authored 24 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Xiaohong Jing's work include Cancer Genomics and Diagnostics (5 papers), Computational Drug Discovery Methods (4 papers) and Genetic factors in colorectal cancer (3 papers). Xiaohong Jing is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Computational Drug Discovery Methods (4 papers) and Genetic factors in colorectal cancer (3 papers). Xiaohong Jing collaborates with scholars based in United States, China and Sweden. Xiaohong Jing's co-authors include Le Kang, Chris Sander, Anil Korkut, Evan Molinelli, Weiqing Wang, Martin L. Miller, Qin He, Yuling Chi, Christine A. Pratilas and David B. Solit and has published in prestigious journals such as Bioinformatics, Cancer Research and Clinical Cancer Research.

In The Last Decade

Xiaohong Jing

24 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohong Jing United States 14 515 244 101 89 75 24 898
Simona Panni Italy 17 1.1k 2.2× 280 1.1× 105 1.0× 51 0.6× 100 1.3× 36 1.4k
Rintaro Saito Japan 20 783 1.5× 124 0.5× 75 0.7× 23 0.3× 65 0.9× 55 1.2k
Andra Waagmeester Netherlands 13 862 1.7× 140 0.6× 153 1.5× 45 0.5× 80 1.1× 30 1.2k
Chan Yeong Kim South Korea 13 1.3k 2.6× 338 1.4× 74 0.7× 42 0.5× 146 1.9× 18 1.9k
Guilherme Viteri United Kingdom 6 646 1.3× 161 0.7× 73 0.7× 28 0.3× 119 1.6× 7 1.1k
Jonathan L. Robinson United States 17 668 1.3× 112 0.5× 52 0.5× 26 0.3× 81 1.1× 35 978
Marc Gillespie United States 13 1.3k 2.6× 144 0.6× 202 2.0× 36 0.4× 46 0.6× 25 1.6k
Yide Qin China 13 886 1.7× 287 1.2× 115 1.1× 41 0.5× 85 1.1× 28 1.3k
Lydie Lane Switzerland 31 2.1k 4.1× 208 0.9× 70 0.7× 27 0.3× 195 2.6× 59 2.7k

Countries citing papers authored by Xiaohong Jing

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Jing. A scholar is included among the top collaborators of Xiaohong Jing 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 Xiaohong Jing. Xiaohong Jing 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.
Li, Bin, Linpeng Wang, Xiaohong Jing, et al.. (2022). [Acupuncture as adjuvant therapy for 32 cases of coronavirus disease 2019].. PubMed. 42(6). 634–8. 3 indexed citations
2.
3.
Nyman, Elin, Richard R. Stein, Xiaohong Jing, et al.. (2020). Perturbation biology links temporal protein changes to drug responses in a melanoma cell line. PLoS Computational Biology. 16(7). e1007909–e1007909. 13 indexed citations
4.
Marass, Francesco, Julie L. Yang, Caitlin M. Stewart, et al.. (2020). Cell‐free DNA profiling in retinoblastoma patients with advanced intraocular disease: An MSKCC experience. Cancer Medicine. 9(17). 6093–6101. 35 indexed citations
5.
Latham, Alicia, Zalak Patel, Maysun Hasan, et al.. (2020). Abstract PR07: MSI detection in plasma cfDNA: MSI as a marker of disease burden. Clinical Cancer Research. 26(11_Supplement). PR07–PR07. 1 indexed citations
6.
Bian, Weihua, Xiaohong Jing, Zhiyu Yang, et al.. (2020). Downregulation of LncRNA NORAD promotes Ox-LDL-induced vascular endothelial cell injury and atherosclerosis. Aging. 12(7). 6385–6400. 138 indexed citations
7.
Shi, Yu, Kaijun Wang, Nian Liu, et al.. (2019). 43‐3: 14 Inch Flexible LCD Panel with Colorless Polyimide. SID Symposium Digest of Technical Papers. 50(1). 597–599. 9 indexed citations
8.
Hasan, Maysun, Juber Patel, Fanli Meng, et al.. (2019). Abstract 1387: Tracking minimal residual disease in post-operative cell-free DNA using MSK-ACCESS. Cancer Research. 79(13_Supplement). 1387–1387. 2 indexed citations
9.
Jing, Xiaohong, et al.. (2019). Genome-wide identification and prediction of long non-coding RNAs in half-smooth tongue sole Cynoglossus semilaevis. Journal of Oceanology and Limnology. 38(1). 226–235. 1 indexed citations
10.
Srinivasan, Preethi, Christina Tran, Jonathan Reichel, et al.. (2018). Abstract 3656: Detecting MSI in plasma: Implications for early detection of lynch associated tumors. Cancer Research. 78(13_Supplement). 3656–3656. 2 indexed citations
11.
Benard, Outhiriaradjou, Jihyeon Lim, Pasha Apontes, et al.. (2016). Impact of high-fat diet on the proteome of mouse liver. The Journal of Nutritional Biochemistry. 31. 10–19. 30 indexed citations
12.
Aksoy, Bülent Arman, Emek Demir, Özgün Babur, et al.. (2014). Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles. Bioinformatics. 30(14). 2051–2059. 25 indexed citations
13.
Lai, Jennifer Y., Jinghui Luo, Christopher L. O’Connor, et al.. (2014). MicroRNA-21 in Glomerular Injury. Journal of the American Society of Nephrology. 26(4). 805–816. 125 indexed citations
14.
Molinelli, Evan, Anil Korkut, Weiqing Wang, et al.. (2013). Perturbation Biology: Inferring Signaling Networks in Cellular Systems. PLoS Computational Biology. 9(12). e1003290–e1003290. 120 indexed citations
15.
Aksoy, Bülent Arman, Jianjiong Gao, Gideon Dresdner, et al.. (2013). PiHelper: an open source framework for drug-target and antibody-target data. Bioinformatics. 29(16). 2071–2072. 8 indexed citations
16.
Jing, Xiaohong, et al.. (2012). Prostaglandin Transporter Modulates Wound Healing in Diabetes by Regulating Prostaglandin-Induced Angiogenesis. American Journal Of Pathology. 181(1). 334–346. 50 indexed citations
17.
Hou, Qian, Han-Qiang Liu, Ying Yang, et al.. (2011). Berberine induces cell death in human hepatoma cells in vitro by downregulating CD147. Cancer Science. 102(7). 1287–1292. 88 indexed citations
18.
Bitzer, Markus, Wenjun Ju, Xiaohong Jing, & Jiří Zavadil. (2011). Quantitative Analysis of miRNA Expression in Epithelial Cells and Tissues. Methods in molecular biology. 820. 55–70. 7 indexed citations
19.
20.
Jing, Xiaohong & Le Kang. (2004). Seasonal Changes in the Cold Tolerance of Eggs of the Migratory Locust, <I>Locusta migratoria</I> L. (Orthoptera: Acrididae). Environmental Entomology. 33(2). 113–118. 20 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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