Jun Han

6.3k total citations
110 papers, 4.3k citations indexed

About

Jun Han is a scholar working on Molecular Biology, Spectroscopy and Food Science. According to data from OpenAlex, Jun Han has authored 110 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 37 papers in Spectroscopy and 10 papers in Food Science. Recurrent topics in Jun Han's work include Mass Spectrometry Techniques and Applications (32 papers), Metabolomics and Mass Spectrometry Studies (26 papers) and Analytical Chemistry and Chromatography (13 papers). Jun Han is often cited by papers focused on Mass Spectrometry Techniques and Applications (32 papers), Metabolomics and Mass Spectrometry Studies (26 papers) and Analytical Chemistry and Chromatography (13 papers). Jun Han collaborates with scholars based in Canada, China and United States. Jun Han's co-authors include Christoph H. Borchers, Jingxi Pan, Karen Lin, Lars Konermann, Kevin L. Schey, B. Brett Finlay, L. Caetano M. Antunes, Juncong Yang, Tobias Eckle and Rosana B. R. Ferreira and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Jun Han

109 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Han Canada 38 2.4k 1.1k 520 335 310 110 4.3k
Timothy J. Garrett United States 39 2.8k 1.2× 1.3k 1.2× 562 1.1× 508 1.5× 167 0.5× 203 4.9k
Katja Dettmer Germany 39 4.1k 1.7× 1.4k 1.3× 449 0.9× 388 1.2× 258 0.8× 115 7.1k
Akiyoshi Hirayama Japan 32 3.2k 1.3× 533 0.5× 997 1.9× 447 1.3× 236 0.8× 116 4.9k
Oleg A. Mayboroda Netherlands 38 2.3k 1.0× 1.0k 0.9× 253 0.5× 209 0.6× 179 0.6× 128 4.3k
Vladimir Tolstikov United States 30 2.7k 1.1× 686 0.6× 486 0.9× 223 0.7× 213 0.7× 68 4.1k
Rupasri Mandal Canada 34 2.7k 1.1× 495 0.4× 583 1.1× 404 1.2× 256 0.8× 119 5.0k
François Fenaille France 36 2.0k 0.8× 751 0.7× 482 0.9× 239 0.7× 171 0.6× 156 3.6k
Leonardo Tenori Italy 37 3.1k 1.3× 596 0.5× 778 1.5× 405 1.2× 123 0.4× 137 4.7k
Kirill Veselkov United Kingdom 29 2.8k 1.2× 1.3k 1.1× 514 1.0× 272 0.8× 102 0.3× 74 4.3k
Dominik Schwudke Germany 34 3.7k 1.6× 1.2k 1.0× 690 1.3× 593 1.8× 283 0.9× 89 5.8k

Countries citing papers authored by Jun Han

Since Specialization
Citations

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

Fields of papers citing papers by Jun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Han. A scholar is included among the top collaborators of Jun Han 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 Jun Han. Jun Han 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.
He, Xiaojia, Liang Qin, Lulu Chen, et al.. (2024). Electromagnetic Field-Assisted Frozen Tissue Planarization Enhances MALDI-MSI in Plant Spatial Omics. Analytical Chemistry. 96(29). 11809–11822. 3 indexed citations
2.
Wang, Xiaomeng, Michael S. Reid, Chunqing Jiang, et al.. (2023). Spatial and temporal water chemistry variations of hydraulic fracturing flowback and produced waters from the Duvernay Formation. Applied Geochemistry. 155. 105704–105704. 3 indexed citations
3.
Han, Jun, et al.. (2023). Resistant potato starch supplementation reduces serum histamine levels in healthy adults with links to attenuated intestinal permeability. Journal of Functional Foods. 108. 105740–105740. 5 indexed citations
4.
Chen, Lulu, Liang Qin, Yawen Zhang, et al.. (2023). Insights from multi-omics integration into seed germination of Taxus chinensis var mairei. Communications Biology. 6(1). 931–931. 10 indexed citations
5.
Shahid, Izzah, et al.. (2023). Genome mining of Pseudomonas spp. hints towards the production of under-pitched secondary metabolites. 3 Biotech. 13(6). 182–182. 2 indexed citations
6.
Shahid, Izzah, Jun Han, Darryl B. Hardie, et al.. (2021). Profiling of antimicrobial metabolites of plant growth promoting Pseudomonas spp. isolated from different plant hosts. 3 Biotech. 11(2). 48–48. 26 indexed citations
7.
Wang, Renxue, Jun Han, Yi‐Ling Qiu, et al.. (2020). Changes in plasma bile acid profiles after partial internal biliary diversion in PFIC2 patients. Annals of Translational Medicine. 8(5). 185–185. 7 indexed citations
8.
Mao, Fengfeng, Hanqing Zhao, Wenhui He, et al.. (2019). Increased sulfation of bile acids in mice and human subjects with sodium taurocholate cotransporting polypeptide deficiency. Journal of Biological Chemistry. 294(31). 11853–11862. 25 indexed citations
10.
Wang, Renxue, Jonathan A. Sheps, Lin Liu, et al.. (2018). Hydrophilic bile acids prevent liver damage caused by lack of biliary phospholipid in Mdr2 mice. Journal of Lipid Research. 60(1). 85–97. 31 indexed citations
12.
Bround, Michael J., Haoning Howard Cen, Parisa Asghari, et al.. (2016). Cardiac Ryanodine Receptor (Ryr2)-mediated Calcium Signals Specifically Promote Glucose Oxidation via Pyruvate Dehydrogenase. Journal of Biological Chemistry. 291(45). 23490–23505. 26 indexed citations
13.
Wang, Xiaodong, Jun Han, Darryl B. Hardie, et al.. (2016). Metabolomic profiling of prostate cancer by matrix assisted laser desorption/ionization-Fourier transform ion cyclotron resonance mass spectrometry imaging using Matrix Coating Assisted by an Electric Field (MCAEF). Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(7). 755–767. 35 indexed citations
14.
Han, Jun, Hai Zhang, Sheng Wang, et al.. (2016). Potentiation of Surface Stability of AMPA Receptors by Sulfhydryl Compounds: A Redox-Independent Effect by Disrupting Palmitoylation. Neurochemical Research. 41(11). 2890–2903. 4 indexed citations
15.
Little, Stefan A., Derek Smith, Jun Han, et al.. (2013). Application of proteomics to the study of pollination drops. Applications in Plant Sciences. 1(4). 12 indexed citations
16.
Antunes, L. Caetano M., et al.. (2011). Effect of Antibiotic Treatment on the Intestinal Metabolome. Antimicrobial Agents and Chemotherapy. 55(4). 1494–1503. 208 indexed citations
17.
Han, Jun, et al.. (2006). Identification of Sites of Truncation of AQP0 Induced by Hyperbaric Oxygen and UVA Light in vivo. Investigative Ophthalmology & Visual Science. 47(13). 4088–4088. 1 indexed citations
18.
Han, Jun & Kevin L. Schey. (2006). MALDI Tissue Imaging of Ocular Lens α-Crystallin. Investigative Ophthalmology & Visual Science. 47(7). 2990–2990. 60 indexed citations
19.
Shaw, Bret, Jun Han, Timothy B. Baker, et al.. (2006). How women with breast cancer learn using interactive cancer communication systems. Health Education Research. 22(1). 108–119. 65 indexed citations
20.
Han, Jun, et al.. (2004). A study of HLA-G1 protection of porcine endothelial cells against human NK cell cytotoxicity. Transplantation Proceedings. 36(8). 2473–2474. 13 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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