Xin-Xin Long

663 total citations
14 papers, 537 citations indexed

About

Xin-Xin Long is a scholar working on Nuclear and High Energy Physics, Oncology and Molecular Biology. According to data from OpenAlex, Xin-Xin Long has authored 14 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Xin-Xin Long's work include Particle physics theoretical and experimental studies (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Cancer Cells and Metastasis (2 papers). Xin-Xin Long is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Cancer Cells and Metastasis (2 papers). Xin-Xin Long collaborates with scholars based in China, United States and Australia. Xin-Xin Long's co-authors include Jinpu Yu, Yingnan Ye, Lijie Zhang, Xiubao Ren, Wenwen Yu, Feng Wei, Pei Xiao, Xin‐zhuan Su, Pengpeng Liu and Junya Ning and has published in prestigious journals such as Nuclear Physics B, Oncotarget and Pharmacological Research.

In The Last Decade

Xin-Xin Long

12 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin-Xin Long China 8 201 161 140 80 50 14 537
Wenjiang Ma China 16 266 1.3× 131 0.8× 200 1.4× 87 1.1× 91 1.8× 37 812
Yu Xiao China 14 300 1.5× 86 0.5× 110 0.8× 91 1.1× 38 0.8× 34 583
Pinelopi Samara Greece 13 251 1.2× 166 1.0× 211 1.5× 82 1.0× 41 0.8× 34 666
Chieh‐Shan Wu Taiwan 17 254 1.3× 68 0.4× 122 0.9× 49 0.6× 37 0.7× 48 884
Shan‐Chih Lee Taiwan 15 305 1.5× 132 0.8× 209 1.5× 69 0.9× 42 0.8× 43 702
Hervé Lebrec United States 16 137 0.7× 142 0.9× 308 2.2× 66 0.8× 20 0.4× 57 657
Saeed Mohammadi Iran 15 344 1.7× 93 0.6× 224 1.6× 60 0.8× 28 0.6× 66 796
Xingwang Zhou China 17 285 1.4× 92 0.6× 98 0.7× 79 1.0× 56 1.1× 49 781
Mei-Chieh Chen Taiwan 14 232 1.2× 83 0.5× 161 1.1× 98 1.2× 25 0.5× 17 610

Countries citing papers authored by Xin-Xin Long

Since Specialization
Citations

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

Fields of papers citing papers by Xin-Xin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin-Xin Long. 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 Xin-Xin Long. The network helps show where Xin-Xin Long may publish in the future.

Co-authorship network of co-authors of Xin-Xin Long

This figure shows the co-authorship network connecting the top 25 collaborators of Xin-Xin Long. A scholar is included among the top collaborators of Xin-Xin Long 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 Xin-Xin Long. Xin-Xin Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Li, Ling, Zhengling Li, Wei Wang, et al.. (2024). Label-Free Detection of Programmed Death-Ligand 1 for Prognosis Using a Truncated Aptamer and SYBR Green I. Journal of Fluorescence. 35(7). 5781–5788. 1 indexed citations
2.
Long, Xin-Xin, Shu-Min Zhao, Xi Wang, et al.. (2024). The flavor transition process b → sγ in the U(1) SSM with the mass insertion approximation. Nuclear Physics B. 1001. 116518–116518.
3.
Long, Xin-Xin, Shu-Min Zhao, Mingyue Liu, et al.. (2023). Theoretical corrections of $$R_D$$ and $$R_{D^*}$$. The European Physical Journal C. 83(10).
4.
Wang, Xi, Xin-Xin Long, Yitong Wang, et al.. (2023). Study on muon MDM and lepton EDM in BLMSSM via the mass insertion approximation. Journal of Physics G Nuclear and Particle Physics. 51(1). 15004–15004. 2 indexed citations
5.
6.
Long, Xin-Xin, et al.. (2020). Melaleuca alternifolia (tea tree) oil and its monoterpene constituents in treating protozoan and helminthic infections. Biomedicine & Pharmacotherapy. 130. 110624–110624. 50 indexed citations
7.
Long, Xin-Xin, et al.. (2018). Artemisinin and its derivatives. Anti-Cancer Drugs. 30(1). 1–18. 30 indexed citations
9.
Long, Xin-Xin, et al.. (2018). Artemisinin and its derivatives in treating helminthic infections beyond schistosomiasis. Pharmacological Research. 133. 77–100. 39 indexed citations
10.
Dong, Li, Nan Wu, Shaojing Wang, et al.. (2018). Detection of novel germline mutations in six breast cancer predisposition genes by targeted next-generation sequencing. Human Mutation. 39(10). 1442–1455. 7 indexed citations
13.
Zhang, Lijie, Yingnan Ye, Xin-Xin Long, et al.. (2016). BMP signaling and its paradoxical effects in tumorigenesis and dissemination. Oncotarget. 7(47). 78206–78218. 77 indexed citations
14.
Long, Xin-Xin, Yingnan Ye, Lijie Zhang, et al.. (2015). IL-8, a novel messenger to cross-link inflammation and tumor EMT via autocrine and paracrine pathways (Review). International Journal of Oncology. 48(1). 5–12. 127 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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