Junping Jing

22 papers receiving 2.2k citations

Peers

Junping Jing
Comparison fields: 5 of 110
  • Cancer Research 350
  • Oncology 485
  • Biochemistry 89
  • Molecular Biology 651
  • Public Health, Environmental and Occupational Health 309
Replace Vivian C. Hecht with:
Vivian C. Hecht United States
Leonard Weiss United States
Philip Lijnzaad Netherlands
James R. W. Conway Australia
Yang Eric Guo United States
Ferdinand von Eggeling Germany
Donald Frederick Parsons United States
Karsten Richter Germany
David H. Geho United States
Bruno Catimel Australia
Junping Jing relative to Vivian C. Hecht United States Vivian C. Hecht's profile →
Citations per field
00.5×5×10×17.2×
Vivian C. Hecht · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Junping Jing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junping Jing Line = papers co-authored together Junping Jing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015394
2 1998385
3 1998252
4 2013200
5 2012194
6 2018165
7 1999149
8 2011106
9 2010105
10 200890
11 201078
12 199970
13 199848
14 199529
15 202112
16 201611
17 202310
18 20117
19 20247
20 20182

About Junping Jing

Junping Jing is a scholar working on Oncology, Cancer Research, Molecular Biology, Genetics and Immunology, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Genomics and Phylogenetic Studies (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Microtubule and mitosis dynamics (2 papers), Malaria Research and Control (2 papers), T-cell and B-cell Immunology (2 papers) and Genome Rearrangement Algorithms (2 papers). The work is most often cited by research in Cancer Research (350 citations), Oncology (485 citations), Biochemistry (89 citations), Molecular Biology (651 citations) and Public Health, Environmental and Occupational Health (309 citations). Junping Jing has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Richard F. Wooster, Kurtis E. Bachman, A. Pieter J. van den Heuvel, Thomas Anantharaman, David C. Schwartz, Stephen D. Eastman, Bud Mishra, Jingsong Yang, Hong Ting Shi and Chris Hopson. Their work appears in journals such as Molecular Cancer Therapeutics, Science, Journal for ImmunoTherapy of Cancer, Annals of Oncology and Proceedings of the National Academy of Sciences.

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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