Xin Shi

879 total citations
34 papers, 723 citations indexed

About

Xin Shi is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Xin Shi has authored 34 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Surgery. Recurrent topics in Xin Shi's work include Pancreatitis Pathology and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Neuropeptides and Animal Physiology (3 papers). Xin Shi is often cited by papers focused on Pancreatitis Pathology and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Neuropeptides and Animal Physiology (3 papers). Xin Shi collaborates with scholars based in China, Switzerland and Germany. Xin Shi's co-authors include Markus W. Büchler, Helmut Friess, Jörg Kleeff, Arthur Zimmermann, Shengli Liu, Israël Vlodavsky, Quan Liao, Iris Pecker, Alexander Koliopanos and Helmut Frieß and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xin Shi

32 papers receiving 713 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 Shi China 10 401 237 202 105 103 34 723
Michael E. Feigin United States 16 708 1.8× 214 0.9× 180 0.9× 66 0.6× 119 1.2× 26 914
Athina‐Myrto Chioni United Kingdom 13 727 1.8× 151 0.6× 102 0.5× 142 1.4× 104 1.0× 20 925
Tilahun Jiffar United States 13 371 0.9× 213 0.9× 47 0.2× 93 0.9× 111 1.1× 14 636
María Sol Degese Argentina 8 584 1.5× 186 0.8× 320 1.6× 37 0.4× 87 0.8× 8 894
Sripriya Ranganathan United States 10 455 1.1× 165 0.7× 233 1.2× 79 0.8× 205 2.0× 13 945
Lucia Latella Italy 16 1.2k 2.9× 197 0.8× 108 0.5× 49 0.5× 96 0.9× 27 1.3k
Angela Romanelli United States 15 569 1.4× 181 0.8× 100 0.5× 35 0.3× 70 0.7× 44 912
Deborah A. Lazzarino United States 15 584 1.5× 215 0.9× 156 0.8× 57 0.5× 184 1.8× 19 872
Cary Esselens Spain 10 444 1.1× 208 0.9× 150 0.7× 145 1.4× 98 1.0× 14 836
Jamel Chelly France 11 905 2.3× 241 1.0× 92 0.5× 29 0.3× 154 1.5× 14 1.2k

Countries citing papers authored by Xin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Shi. A scholar is included among the top collaborators of Xin Shi 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 Shi. Xin Shi 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.
Hu, Nan, Yanhua Li, Li Xu, et al.. (2025). pHNRhCas9NG, single expression cassette-based dual-component dual-transcription unit CRISPR/Cas9 system for plant genome editing. Trends in biotechnology. 43(7). 1788–1808. 1 indexed citations
2.
Li, Hao, Xin Shi, Chuanping Yang, et al.. (2025). Single nucleotide polymorphism-based visual identification of Rhodiola crenulata using the loop-mediated isothermal amplification technique. Frontiers in Plant Science. 15. 1492083–1492083. 2 indexed citations
3.
Yang, Shuo, et al.. (2025). Pharmacological interventions for addressing pediatric and adolescent obesity: A systematic review and network meta-analysis. PLoS ONE. 20(2). e0314787–e0314787. 1 indexed citations
4.
Xiang, Dan, Mengxi Huang, Zhaochen Sun, et al.. (2024). Case report: Concurrent intrathecal and intravenous pembrolizumab for metastatic melanoma with leptomeningeal disease. Frontiers in Oncology. 14. 1344829–1344829. 2 indexed citations
5.
Li, Hao, Xin Shi, Jiaqiang Chen, et al.. (2024). The varying responses of leaves and roots and the link between sugar metabolic genes and the SWEET family in Dendrobium officinale under salt stress. BMC Genomics. 25(1). 1172–1172. 3 indexed citations
6.
Peng, Qianqian, Xin Shi, Dingwei Li, et al.. (2023). SCML2 contributes to tumor cell resistance to DNA damage through regulating p53 and CHK1 stability. Cell Death and Differentiation. 30(7). 1849–1867. 6 indexed citations
7.
8.
Shi, Xin, et al.. (2016). 308 Heavy cigarette smokers in a Chinese population display a compromised permeability barrier. Journal of Investigative Dermatology. 136(5). S54–S54. 4 indexed citations
9.
Liu, Yanhui, et al.. (2015). [The role of Nods like receptors in the patients with allergic rhinitis].. PubMed. 29(15). 1323–8. 1 indexed citations
10.
Shi, Xin. (2009). Early diagnosis and treatment of telangiectatic osteosarcoma. 1 indexed citations
11.
Michalski, Christoph, Frank Autschbach, Federico Selvaggi, et al.. (2007). Increase in substance P precursor mRNA in noninflamed small-bowel sections in patients with Crohn’s disease. The American Journal of Surgery. 193(4). 476–481. 17 indexed citations
12.
Michalski, Christoph, Xin Shi, Carolin Reiser, et al.. (2007). Neurokinin-2 Receptor Levels Correlate With Intensity, Frequency, and Duration of Pain in Chronic Pancreatitis. Annals of Surgery. 246(5). 786–793. 22 indexed citations
13.
Köninger, Jörg, Peter Baláž, Markus Wagner, et al.. (2005). Phosphatidylserine Receptor in Chronic Pancreatitis. Annals of Surgery. 241(1). 144–151. 16 indexed citations
14.
Shi, Xin. (2003). Gene-expression analysis of single cells-nested polymerase chain reaction after laser microdissection. World Journal of Gastroenterology. 9(6). 1337–1337. 6 indexed citations
15.
Zhu, Zhaowen, Helmut Frieß, Xin Shi, et al.. (2003). Up-Regulation of p75 Neurotrophin Receptor (p75NTR) Is Associated with Apoptosis in Chronic Pancreatitis. Digestive Diseases and Sciences. 48(4). 717–725. 16 indexed citations
16.
Frieß, Helmut, Zhaowen Zhu, Xin Shi, et al.. (2003). Neurokinin-1 Receptor Expression and Its Potential Effects on Tumor Growth in Human Pancreatic Cancer. Laboratory Investigation. 83(5). 731–742. 100 indexed citations
17.
Shi, Xin, Shengli Liu, Jörg Kleeff, Helmut Friess, & Markus W. Büchler. (2002). Acquired Resistance of Pancreatic Cancer Cells towards 5-Fluorouracil and Gemcitabine Is Associated with Altered Expression of Apoptosis-Regulating Genes. Oncology. 62(4). 354–362. 149 indexed citations
18.
Koliopanos, Alexander, Helmut Friess, Jörg Kleeff, et al.. (2001). Heparanase expression in primary and metastatic pancreatic cancer.. PubMed. 61(12). 4655–9. 216 indexed citations
19.
Shi, Xin, Helmut Friess, Jörg Kleeff, Fumiaki Ozawa, & Markus W. Büchler. (2001). Pancreatic Cancer: Factors Regulating Tumor Development, Maintenance and Metastasis. Pancreatology. 1(5). 517–524. 38 indexed citations
20.
Kleeff, Jörg, Xin Shi, Kevin B. Hoover, et al.. (2001). Altered Expression and Localization of the Tight Junction Protein ZO-1 in Primary and Metastatic Pancreatic Cancer. Pancreas. 23(3). 259–265. 50 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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