Bowei Xi

750 total citations
10 papers, 580 citations indexed

About

Bowei Xi is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Bowei Xi has authored 10 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Spectroscopy and 2 papers in Biomedical Engineering. Recurrent topics in Bowei Xi's work include Metabolomics and Mass Spectrometry Studies (9 papers), Mass Spectrometry Techniques and Applications (2 papers) and Advanced Chemical Sensor Technologies (2 papers). Bowei Xi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Mass Spectrometry Techniques and Applications (2 papers) and Advanced Chemical Sensor Technologies (2 papers). Bowei Xi collaborates with scholars based in United States, Sweden and China. Bowei Xi's co-authors include Haiwei Gu, Daniel Raftery, Zhengzheng Pan, Vincent M. Asiago, Hamid Baniasadi, Brian Musselman, Xiaojian Shi, Jianfu Li, William S. Cleveland and G. A. Nagana Gowda and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Chemistry and Analytica Chimica Acta.

In The Last Decade

Bowei Xi

10 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bowei Xi United States	8	395	157	68	61	59	10	580
Agnieszka Smolinska Netherlands	13	513 1.3×	144 0.9×	131 1.9×	100 1.6×	36 0.6×	17	802
Mélanie Pétéra France	14	542 1.4×	126 0.8×	81 1.2×	126 2.1×	23 0.4×	26	819
Timothy J. Carlson United States	19	215 0.5×	73 0.5×	19 0.3×	41 0.7×	36 0.6×	49	1.1k
Xuejiao Cui China	10	1.0k 2.6×	176 1.1×	56 0.8×	46 0.8×	145 2.5×	14	1.5k
Denis V. Rubtsov United Kingdom	11	614 1.6×	139 0.9×	85 1.3×	143 2.3×	23 0.4×	19	854
Robert A. Jolly United States	22	728 1.8×	78 0.5×	51 0.8×	65 1.1×	213 3.6×	44	1.4k
Dalin Yuan China	11	393 1.0×	108 0.7×	93 1.4×	42 0.7×	18 0.3×	18	717
Raymond Ramaker Netherlands	9	793 2.0×	271 1.7×	108 1.6×	100 1.6×	78 1.3×	9	1.2k
Frans van der Kloet Netherlands	13	550 1.4×	172 1.1×	94 1.4×	157 2.6×	26 0.4×	20	806
Namrata Kale United Kingdom	7	1.0k 2.6×	117 0.7×	99 1.5×	31 0.5×	30 0.5×	8	1.3k

Countries citing papers authored by Bowei Xi

Since Specialization

Citations

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

Fields of papers citing papers by Bowei Xi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bowei Xi

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Shi, Xiaojian, et al.. (2020). Triple Negative Breast Cancer Detection Using LC–MS/MS Lipidomic Profiling. Journal of Proteome Research. 19(6). 2367–2378. 57 indexed citations

Shi, Xiaojian, Bowei Xi, Paniz Jasbi, et al.. (2020). Comprehensive Isotopic Targeted Mass Spectrometry: Reliable Metabolic Flux Analysis with Broad Coverage. Analytical Chemistry. 92(17). 11728–11738. 31 indexed citations

Jasbi, Paniz, Xiaojian Shi, Shuai Wang, et al.. (2019). Daily red wine vinegar ingestion for eight weeks improves glucose homeostasis and affects the metabolome but does not reduce adiposity in adults. Food & Function. 10(11). 7343–7355. 29 indexed citations

Xi, Bowei, Haiwei Gu, Hamid Baniasadi, & Daniel Raftery. (2014). Statistical Analysis and Modeling of Mass Spectrometry-Based Metabolomics Data. Methods in molecular biology. 1198. 333–353. 115 indexed citations

Owusu-Sarfo, Kwadwo, Vincent M. Asiago, Lingli Deng, et al.. (2014). NMR-based Metabolite Profiling of Pancreatic Cancer. 2(3). 204–212. 2 indexed citations

Hafen, Ryan, et al.. (2012). Large complex data: divide and recombine (D&R) with RHIPE. Stat. 1(1). 53–67. 64 indexed citations

Owusu-Sarfo, Kwadwo, Vincent M. Asiago, Narasimhamurthy Shanaiah, et al.. (2011). ¹H NMR–based metabolic profiling of serum for the detection of pancreatic cancer.. Journal of Clinical Oncology. 29(4_suppl). 193–193. 1 indexed citations

Gu, Haiwei, Zhengzheng Pan, Bowei Xi, et al.. (2010). Principal component directed partial least squares analysis for combining nuclear magnetic resonance and mass spectrometry data in metabolomics: Application to the detection of breast cancer. Analytica Chimica Acta. 686(1-2). 57–63. 125 indexed citations

Gu, Haiwei, Zhengzheng Pan, Bowei Xi, et al.. (2009). ¹H NMR metabolomics study of age profiling in children. NMR in Biomedicine. 22(8). 826–833. 67 indexed citations

10.

Gu, Haiwei, Huanwen Chen, Zhengzheng Pan, et al.. (2006). Monitoring Diet Effects via Biofluids and Their Implications for Metabolomics Studies. Analytical Chemistry. 79(1). 89–97. 89 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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