Victor Han

1.7k total citations
21 papers, 1.3k citations indexed

About

Victor Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Victor Han has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Victor Han's work include Advanced MRI Techniques and Applications (4 papers), Ion Channels and Receptors (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Victor Han is often cited by papers focused on Advanced MRI Techniques and Applications (4 papers), Ion Channels and Receptors (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Victor Han collaborates with scholars based in United States, Canada and China. Victor Han's co-authors include Jean M. Lauder, Andrew C. Towle, P. Kay Lund, Todd A. Verdoorn, James G. Simmons, Mary Hynes, Can Jin, Jiahuai Han, Robert T. Thompson and Neil Gelman and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and PEDIATRICS.

In The Last Decade

Victor Han

21 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Han United States 14 513 354 291 262 202 21 1.3k
Joanna Szmydynger‐Chodobska United States 22 527 1.0× 740 2.1× 66 0.2× 139 0.5× 86 0.4× 47 2.1k
Adam Chodobski United States 22 527 1.0× 740 2.1× 65 0.2× 146 0.6× 86 0.4× 48 2.1k
Junko Imaki Japan 24 580 1.1× 846 2.4× 131 0.5× 324 1.2× 118 0.6× 63 2.1k
Lars Granholm Sweden 17 282 0.5× 287 0.8× 263 0.9× 95 0.4× 146 0.7× 45 1.2k
Michael R. Pranzatelli United States 30 770 1.5× 471 1.3× 98 0.3× 87 0.3× 55 0.3× 144 2.9k
János Szabó Hungary 17 546 1.1× 223 0.6× 60 0.2× 63 0.2× 117 0.6× 85 1.3k
Lynne A. Holtzclaw United States 22 620 1.2× 684 1.9× 83 0.3× 117 0.4× 161 0.8× 31 1.4k
Kyle Valentino United States 18 540 1.1× 462 1.3× 115 0.4× 41 0.2× 105 0.5× 39 1.1k
Helle Hasager Damkier Denmark 17 498 1.0× 630 1.8× 58 0.2× 126 0.5× 72 0.4× 36 1.3k
Chrystel Lafont France 20 140 0.3× 417 1.2× 360 1.2× 304 1.2× 146 0.7× 28 1.3k

Countries citing papers authored by Victor Han

Since Specialization
Citations

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

Fields of papers citing papers by Victor Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Han

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Han. A scholar is included among the top collaborators of Victor 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 Victor Han. Victor 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.
Hernández‐Morales, Miriam, Victor Han, Eric J. Benner, et al.. (2024). Electrophysiological Mechanisms and Validation of Ferritin-Based Magnetogenetics for Remote Control of Neurons. Journal of Neuroscience. 44(30). e1717232024–e1717232024. 1 indexed citations
2.
Han, Victor, et al.. (2023). Pulsed selective excitation theory and design in multiphoton MRI. Journal of Magnetic Resonance. 348. 107376–107376. 1 indexed citations
3.
Xu, Xiaojun, Minming Zhang, Xiaojun Guan, et al.. (2022). A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson’s disease: a brain radiomics study. Neural Regeneration Research. 17(12). 2743–2743. 9 indexed citations
4.
Hernández‐Morales, Miriam, Victor Han, Richard Krämer, & Chunlei Liu. (2021). Evaluating methods and protocols of ferritin-based magnetogenetics. iScience. 24(10). 103094–103094. 5 indexed citations
5.
Hernández‐Morales, Miriam, Trisha Shang, Jingjia Chen, Victor Han, & Chunlei Liu. (2020). Lipid Oxidation Induced by RF Waves and Mediated by Ferritin Iron Causes Activation of Ferritin-Tagged Ion Channels. Cell Reports. 30(10). 3250–3260.e7. 27 indexed citations
6.
Han, Victor & Chunlei Liu. (2020). Multiphoton magnetic resonance in imaging: A classical description and implementation. Magnetic Resonance in Medicine. 84(3). 1184–1197. 8 indexed citations
7.
Zhang, Yuyao, Jingjing Shi, Hongjiang Wei, et al.. (2018). Neonate and infant brain development from birth to 2 years assessed using MRI-based quantitative susceptibility mapping. NeuroImage. 185. 349–360. 40 indexed citations
8.
Zhou, Zhenru, Victor Han, & Jiahuai Han. (2012). New components of the necroptotic pathway. Protein & Cell. 3(11). 811–817. 60 indexed citations
9.
Wu, Xiurong, Lili Tian, Jie Li, et al.. (2012). Investigation of Receptor interacting protein (RIP3)-dependent Protein Phosphorylation by Quantitative Phosphoproteomics. Molecular & Cellular Proteomics. 11(12). 1640–1651. 59 indexed citations
10.
Heuvel, M.J. van den, et al.. (2007). ORIGINAL ARTICLE: CD56+ Cells are Recruited to the Uterus in Two Waves: at Ovulation and During the First 2 Weeks after Missed Menses. American Journal of Reproductive Immunology. 59(2). 90–98. 19 indexed citations
11.
Gelman, Neil, Paul A. Picot, David S. Lee, et al.. (2005). Neonatal Brain: Regional Variability of in Vivo MR Imaging Relaxation Rates at 3.0 T—Initial Experience. Radiology. 235(2). 595–603. 63 indexed citations
12.
Gelman, Neil, et al.. (2004). Uncomplicated Intraventricular Hemorrhage Is Followed by Reduced Cortical Volume at Near-Term Age. PEDIATRICS. 114(3). e367–e372. 96 indexed citations
13.
Lala, Peeyush K., et al.. (1992). Localization of transforming growth factor (TGF) α and amphiregulin at the fetomaternal interface throughout human gestation. Placenta. 13(4). A37–A37. 1 indexed citations
15.
Hill, David J., David R. Clemmons, Samantha M. Wilson, et al.. (1989). Immunological distribution of one form of insulin-like growth factor (IGF)-binding protein and IGF peptides in human fetal tissues. Journal of Molecular Endocrinology. 2(1). 31–38. 76 indexed citations
16.
Priestley, John V., et al.. (1988). In situ hybridization using 32P labelled oligodeoxyribonucleotides for the cellular localisation of mRNA in neuronal and endocrine tissue. Histochemistry and Cell Biology. 89(5). 467–479. 13 indexed citations
17.
Han, Victor, et al.. (1988). Distribution of glucagonlike peptide I (GLP‐I), glucagon, and glicentin in the rat brain: An immunocytochemical study. The Journal of Comparative Neurology. 271(4). 519–532. 288 indexed citations
18.
König, N., Victor Han, Erich Lieth, & Jean M. Lauder. (1987). Effects of coculture on the morphology of identified raphe and substantia nigra neurons from the embryonic rat brain. Journal of Neuroscience Research. 17(4). 349–360. 19 indexed citations
19.
Han, Victor, Mary Hynes, Can Jin, et al.. (1986). Cellular localization of proglucagon/glucagon‐like peptide I messenger RNAs in rat brain. Journal of Neuroscience Research. 16(1). 97–107. 149 indexed citations
20.
Lauder, Jean M., et al.. (1986). Prenatal ontogeny of the gabaergic system in the rat brain: An immunocytochemical study. Neuroscience. 19(2). 465–493. 340 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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