Junping Jing

2.7k total citations
20 papers, 1.4k citations indexed

About

Junping Jing is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Junping Jing has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Junping Jing's work include Genomics and Phylogenetic Studies (4 papers), Cancer-related Molecular Pathways (3 papers) and Cancer Genomics and Diagnostics (3 papers). Junping Jing is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Cancer-related Molecular Pathways (3 papers) and Cancer Genomics and Diagnostics (3 papers). Junping Jing collaborates with scholars based in United States, United Kingdom and China. Junping Jing's co-authors include Richard Wooster, Kurtis E. Bachman, A. Pieter J. van den Heuvel, David C. Schwartz, Thomas Anantharaman, Bud Mishra, Christopher E. Aston, Stephen D. Eastman, Hong Shi and Axel Hoos and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Junping Jing

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junping Jing United States 12 779 463 235 180 166 20 1.4k
Zehua Wang China 27 1.3k 1.7× 452 1.0× 577 2.5× 174 1.0× 182 1.1× 84 2.0k
Naimei Tang United States 14 808 1.0× 180 0.4× 193 0.8× 137 0.8× 196 1.2× 26 1.8k
Paul L. Appleton United Kingdom 21 814 1.0× 327 0.7× 111 0.5× 172 1.0× 100 0.6× 33 1.4k
Nadine S. Jahchan United States 15 861 1.1× 656 1.4× 203 0.9× 30 0.2× 183 1.1× 29 1.5k
Valérie Lobjois France 22 987 1.3× 471 1.0× 163 0.7× 406 2.3× 74 0.4× 58 1.9k
Natalie de Souza Switzerland 20 784 1.0× 371 0.8× 144 0.6× 172 1.0× 227 1.4× 63 1.5k
Tharan Srikumar Canada 25 1.8k 2.4× 417 0.9× 311 1.3× 39 0.2× 236 1.4× 35 2.3k
Benjamin A. Hall United Kingdom 25 1.2k 1.5× 324 0.7× 292 1.2× 67 0.4× 161 1.0× 60 1.8k
Sigrun Gustafsdottir Sweden 18 2.0k 2.6× 171 0.4× 150 0.6× 578 3.2× 130 0.8× 22 2.7k

Countries citing papers authored by Junping Jing

Since Specialization
Citations

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

Fields of papers citing papers by Junping Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junping Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Junping Jing. A scholar is included among the top collaborators of Junping 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 Junping Jing. Junping 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.
2.
Jing, Junping, et al.. (2022). Genetic variation of six specific SNPs of chronic obstructive pulmonary disease among Chinese population. Pulmonology. 30(2). 113–121. 5 indexed citations
3.
Eleftheriadou, Ioanna, Sara Brett, Magdalena Kijewska, et al.. (2019). NY-ESO-1 and LAGE1A: An emerging target for cell therapies in solid tumours. Annals of Oncology. 30. v503–v503. 2 indexed citations
4.
Bhattacharya, Sabyasachi, Paul Bojczuk, David Kilian, et al.. (2018). Evaluation of OX40 receptor density, influence of IgG Isotype and dosing paradigm in anti-OX40-mediated efficacy and biomarker responses with PD-1 blockade. Annals of Oncology. 29. viii424–viii425.
5.
Liu, Li, Patrick A. Mayes, Stephen D. Eastman, et al.. (2015). The BRAF and MEK Inhibitors Dabrafenib and Trametinib: Effects on Immune Function and in Combination with Immunomodulatory Antibodies Targeting PD-1, PD-L1, and CTLA-4. Clinical Cancer Research. 21(7). 1639–1651. 352 indexed citations
6.
Liu, Li, Hong Shi, Maureen R. Bleam, et al.. (2014). Antitumor effects of dabrafenib, trametinib, and panitumumab as single agents and in combination in BRAF-mutant colorectal carcinoma (CRC) models.. Journal of Clinical Oncology. 32(15_suppl). 3513–3513. 4 indexed citations
7.
Heuvel, A. Pieter J. van den, Junping Jing, Richard Wooster, & Kurtis E. Bachman. (2012). Analysis of glutamine dependency in non-small cell lung cancer. Cancer Biology & Therapy. 13(12). 1185–1194. 172 indexed citations
8.
Jing, Junping, Joel Greshock, Joanna D. Holbrook, et al.. (2011). Comprehensive Predictive Biomarker Analysis for MEK Inhibitor GSK1120212. Molecular Cancer Therapeutics. 11(3). 720–729. 96 indexed citations
9.
Moy, Christopher, Muhammad Usman Aziz, Joel Greshock, et al.. (2011). Mutation and copy number detection in human cancers using a custom genotyping assay. Genomics. 98(4). 296–301.
10.
Moy, Christopher, Catherine A. Oleykowski, Ramona Plant, et al.. (2011). High Chromosome Number in hematological cancer cell lines is a Negative Predictor of Response to the inhibition of Aurora B and C by GSK1070916. Journal of Translational Medicine. 9(1). 110–110. 6 indexed citations
11.
Degenhardt, Yan, Joel Greshock, Sylvie Laquerre, et al.. (2010). Sensitivity of Cancer Cells to Plk1 Inhibitor GSK461364A Is Associated with Loss of p53 Function and Chromosome Instability. Molecular Cancer Therapeutics. 9(7). 2079–2089. 73 indexed citations
12.
Greshock, Joel, Kurtis E. Bachman, Yan Degenhardt, et al.. (2010). Molecular Target Class Is Predictive of In vitro Response Profile. Cancer Research. 70(9). 3677–3686. 100 indexed citations
13.
Kwong, Kevin, Michael Carr, Tony J. Savage, et al.. (2008). Voltage‐gated sodium channels in nociceptive versus non‐nociceptive nodose vagal sensory neurons innervating guinea pig lungs. The Journal of Physiology. 586(5). 1321–1336. 88 indexed citations
14.
Tatsuoka, Kay, Michal Magid-Slav, Jeffrey R. Jackson, et al.. (2007). Bioinformatic translation of cell line response data to patient selection biomarkers: learnings from taxane data. 67. 4424–4424. 1 indexed citations
15.
Jing, Junping, Zhongwu Lai, Christopher E. Aston, et al.. (1999). Optical Mapping of Plasmodium falciparum Chromosome 2. Genome Research. 9(2). 175–181. 24 indexed citations
16.
Lai, Zhongwu, Junping Jing, Christopher E. Aston, et al.. (1999). A shotgun optical map of the entire Plasmodium falciparum genome. Nature Genetics. 23(3). 309–313. 63 indexed citations
17.
Lin, Jie‐Yi, Rong Qi, Christopher E. Aston, et al.. (1999). Whole-Genome Shotgun Optical Mapping of Deinococcus radiodurans. Science. 285(5433). 1558–1562. 132 indexed citations
18.
Cai, Wei‐Wen, Junping Jing, Elise Rose, et al.. (1998). High-resolution restriction maps of bacterial artificial chromosomes constructed by optical mapping. Proceedings of the National Academy of Sciences. 95(7). 3390–3395. 49 indexed citations
19.
Jing, Junping, Jason Reed, John Huang, et al.. (1998). Automated high resolution optical mapping using arrayed, fluid-fixed DNA molecules. Proceedings of the National Academy of Sciences. 95(14). 8046–8051. 237 indexed citations
20.
Cai, Wei, Xinghua Hu, Junping Jing, et al.. (1995). Mapping the genome one molecule at a time — optical mapping. Nature. 378(6556). 516–517. 28 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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