Xiangju Kong
- Molecular Biology top 1%
- Oncology top 0.5%
- Computational Theory and Mathematics top 0.5%
- Immunology top 5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Roger S. LoAntoni RibasHubing ShiJeffrey A. SosmanRichard C. KoyaThinle ChodonGatien MoriceauMi‐Kyung Lee
- Topics
- Melanoma and MAPK Pathways (15 papers)Computational Drug Discovery Methods (5 papers)HER2/EGFR in Cancer Research (4 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Xiangju Kong
19 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 4.1k
- Oncology 2.7k
- Computational Theory and Mathematics 779
- Immunology 708
- Pathology and Forensic Medicine 660
Countries citing papers authored by Xiangju Kong
This map shows the geographic impact of Xiangju Kong'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 Xiangju Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangju Kong more than expected).
Fields of papers citing papers by Xiangju Kong
This network shows the impact of papers produced by Xiangju Kong. 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 Xiangju Kong. The network helps show where Xiangju Kong may publish in the future.
Co-authorship network of co-authors of Xiangju Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangju Kong. A scholar is included among the top collaborators of Xiangju Kong 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 Xiangju Kong. Xiangju Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 109 | |
| 3 | 43 | |
| 4 | 237 | |
| 5 | Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistancebreakdown → | 412 |
| 6 | Therapy-induced tumour secretomes promote resistance and tumour progressionbreakdown → | 364 |
| 7 | 2 | |
| 8 | Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanomabreakdown → | 427 |
| 9 | 63 | |
| 10 | Acquired Resistance and Clonal Evolution in Melanoma during BRAF Inhibitor Therapybreakdown → | 715 |
| 11 | 133 | |
| 12 | 182 | |
| 13 | 21 | |
| 14 | 75 | |
| 15 | Melanoma whole-exome sequencing identifies V600EB-RAF amplification-mediated acquired B-RAF inhibitor resistancebreakdown → | 470 |
| 16 | 184 | |
| 17 | 1 | |
| 18 | Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulationbreakdown → | 1614 |
| 19 | 84 | |
| 20 | [Characteristics and application of thermophilic enzymes]. | 0 |
About Xiangju Kong
Xiangju Kong is a scholar working on Oncology, Computational Theory and Mathematics and Molecular Biology, having authored 20 papers that have together received 5.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (15 papers), Computational Drug Discovery Methods (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Oncology (2.7k citations), Molecular Biology (4.1k citations) and Computational Theory and Mathematics (779 citations). Xiangju Kong has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Roger S. Lo, Antoni Ribas, Hubing Shi, Jeffrey A. Sosman, Richard C. Koya, Thinle Chodon, Gatien Moriceau, Mi‐Kyung Lee, Hane Lee and Stanley F. Nelson. Their work appears in journals such as Nature, Cell and Angewandte Chemie International Edition.
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.