Jingsong Yang

3.3k citations
37 papers · 2.1k indexed · h-index 21

Jingsong Yang

36 papers receiving 2.0k citations

Peers

Jingsong Yang
Comparison fields: 5 of 92
  • Oncology 898
  • Molecular Biology 1.4k
  • Cell Biology 309
  • Immunology 250
  • Pathology and Forensic Medicine 211
Replace Katherine G. Moss with:
Katherine G. Moss United States
David A. Proia United States
Darrin D. Stuart United States
Wolfgang Seghezzi United States
Kenneth Kolinsky United States
Jessie Villanueva United States
Susan Wee United States
Ian R. Watson Canada
Dawn A. D. Chasse United States
Jingsong Yang relative to Katherine G. Moss United States Katherine G. Moss's profile →
Citations per field
00.5×1.5×1.9×
Katherine G. Moss · 1×
Citations per year

Countries citing papers authored by Jingsong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jingsong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jingsong Yang, 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 Jingsong Yang Line = papers co-authored together Jingsong Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201743
3 201736
4 2015352
5 201542
6 2013163
7 20121
8 2011459
9 201015
10 20103
11 200986
12 200962
13
Abstract #1740: Characterization of GSK1838705A, a small molecule inhibitor of the insulin-like growth factor-1 receptor and anaplastic lymphoma kinase that delays growth of IGF-1R-dependent tumors and causes regression of ALK-dependent tumors in vivo
20092
14 200949
15 200918
16 200873
17 200721
18 200614
19 200527
20 200327

About Jingsong Yang

Jingsong Yang is a scholar working on Oncology, Cell Biology and Pharmaceutical Science, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Microtubule and mitosis dynamics (5 papers), Melanoma and MAPK Pathways (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Bacterial Genetics and Biotechnology (5 papers), interferon and immune responses (4 papers), Cancer-related Molecular Pathways (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Oncology (898 citations), Molecular Biology (1.4k citations) and Cell Biology (309 citations). Jingsong Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stephen J. Benkovic, Katherine G. Moss, Sylvie Laquerre, Maureen R. Bleam, Zhihong Lai, Arthur Groy, David Sutton, Kelly E. Fisher, Francesca Zappacosta and Roland S. Annan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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