Ryan Matsuda

1.3k total citations
22 papers, 1.0k citations indexed

About

Ryan Matsuda is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ryan Matsuda has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ryan Matsuda's work include Protein Interaction Studies and Fluorescence Analysis (16 papers), Protein purification and stability (14 papers) and Drug Transport and Resistance Mechanisms (7 papers). Ryan Matsuda is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (16 papers), Protein purification and stability (14 papers) and Drug Transport and Resistance Mechanisms (7 papers). Ryan Matsuda collaborates with scholars based in United States and India. Ryan Matsuda's co-authors include David S. Hage, Jeanethe Anguizola, Xiwei Zheng, Omar S. Barnaby, Chunling Wa, K.S. Joseph, Erika L. Pfaunmiller, Cong Bi, Efthimia Papastavros and Zhao Li and has published in prestigious journals such as Analytical Chemistry, Analytical Biochemistry and Journal of Chromatography A.

In The Last Decade

Ryan Matsuda

22 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Matsuda United States 16 766 223 211 201 189 22 1.0k
Jeanethe Anguizola United States 16 853 1.1× 242 1.1× 203 1.0× 238 1.2× 236 1.2× 21 1.1k
Omar S. Barnaby United States 12 598 0.8× 152 0.7× 60 0.3× 296 1.5× 138 0.7× 16 943
K.S. Joseph United States 13 583 0.8× 193 0.9× 132 0.6× 140 0.7× 213 1.1× 13 695
Chunling Wa United States 9 385 0.5× 119 0.5× 48 0.2× 240 1.2× 83 0.4× 9 645
Xiwei Zheng United States 19 656 0.9× 252 1.1× 291 1.4× 29 0.1× 151 0.8× 31 902
Masaki Otagiri Japan 17 528 0.7× 114 0.5× 51 0.2× 38 0.2× 276 1.5× 38 985
Chengjie Ji China 20 396 0.5× 138 0.6× 39 0.2× 20 0.1× 154 0.8× 38 923
Naiyu Zheng United States 18 336 0.4× 144 0.6× 40 0.2× 26 0.1× 127 0.7× 39 695
John G. Swales United Kingdom 19 456 0.6× 545 2.4× 25 0.1× 25 0.1× 123 0.7× 34 1.1k
Michio Tsutsui Japan 8 456 0.6× 92 0.4× 84 0.4× 19 0.1× 221 1.2× 8 901

Countries citing papers authored by Ryan Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Matsuda. A scholar is included among the top collaborators of Ryan Matsuda 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 Ryan Matsuda. Ryan Matsuda 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.
Rodriguez, Elliott, et al.. (2020). Studies of binding by sulfonylureas with glyoxal- and methylglyoxal-modified albumin by immunoextraction using affinity microcolumns. Journal of Chromatography A. 1638. 461683–461683. 8 indexed citations
2.
Li, Zhao, et al.. (2018). Chromatographic studies of chlorpropamide interactions with normal and glycated human serum albumin based on affinity microcolumns. Journal of Chromatography B. 1097-1098. 64–73. 20 indexed citations
3.
Bi, Cong, et al.. (2017). Studies of drug interactions with alpha 1 -acid glycoprotein by using on-line immunoextraction and high-performance affinity chromatography. Journal of Chromatography A. 1519. 64–73. 18 indexed citations
4.
Matsuda, Ryan, et al.. (2016). Optimizing sequence coverage for a moderate mass protein in nano-electrospray ionization quadrupole time-of-flight mass spectrometry. Analytical Biochemistry. 509. 115–117. 1 indexed citations
5.
6.
Matsuda, Ryan, Zhao Li, Xiwei Zheng, & David S. Hage. (2015). Analysis of glipizide binding to normal and glycated human serum albumin by high-performance affinity chromatography. Analytical and Bioanalytical Chemistry. 407(18). 5309–5321. 24 indexed citations
7.
8.
Matsuda, Ryan, Zhao Li, Xiwei Zheng, & David S. Hage. (2015). Analysis of multi-site drug–protein interactions by high-performance affinity chromatography: Binding by glimepiride to normal or glycated human serum albumin. Journal of Chromatography A. 1408. 133–144. 32 indexed citations
9.
Hage, David S. & Ryan Matsuda. (2015). Affinity Chromatography: A Historical Perspective. Methods in molecular biology. 1286. 1–19. 23 indexed citations
10.
Zheng, Xiwei, et al.. (2015). Analysis of free drug fractions in human serum by ultrafast affinity extraction and two-dimensional affinity chromatography. Analytical and Bioanalytical Chemistry. 408(1). 131–140. 15 indexed citations
11.
Matsuda, Ryan, et al.. (2014). Studies of drug interactions with glycated human serum albumin by high-performance affinity chromatography. Reviews in Analytical Chemistry. 33(2). 79–94. 15 indexed citations
12.
Zheng, Xiwei, Ryan Matsuda, & David S. Hage. (2014). Analysis of free drug fractions by ultrafast affinity extraction: Interactions of sulfonylurea drugs with normal or glycated human serum albumin. Journal of Chromatography A. 1371. 82–89. 21 indexed citations
13.
Pfaunmiller, Erika L., Jeanethe Anguizola, Efthimia Papastavros, et al.. (2014). Development of microcolumn-based one-site immunometric assays for protein biomarkers. Journal of Chromatography A. 1366. 92–100. 8 indexed citations
14.
Zheng, Xiwei, Zhao Li, Ryan Matsuda, et al.. (2014). Analysis of biomolecular interactions using affinity microcolumns: A review. Journal of Chromatography B. 968. 49–63. 61 indexed citations
15.
Matsuda, Ryan, Cong Bi, Jeanethe Anguizola, et al.. (2013). Studies of metabolite–protein interactions: A review. Journal of Chromatography B. 966. 48–58. 33 indexed citations
16.
Anguizola, Jeanethe, et al.. (2013). Review: Glycation of human serum albumin. Clinica Chimica Acta. 425. 64–76. 324 indexed citations
17.
Hage, David S., Jeanethe Anguizola, Cong Bi, et al.. (2012). Pharmaceutical and biomedical applications of affinity chromatography: Recent trends and developments. Journal of Pharmaceutical and Biomedical Analysis. 69. 93–105. 159 indexed citations
18.
Matsuda, Ryan, Jeanethe Anguizola, K.S. Joseph, & David S. Hage. (2012). Analysis of drug interactions with modified proteins by high-performance affinity chromatography: Binding of glibenclamide to normal and glycated human serum albumin. Journal of Chromatography A. 1265. 114–122. 51 indexed citations
19.
Hage, David S., Jeanethe Anguizola, Abby Jackson, et al.. (2011). Chromatographic analysis of drug interactions in the serum proteome. Analytical Methods. 3(7). 1449–1449. 44 indexed citations
20.
Matsuda, Ryan, Jeanethe Anguizola, K.S. Joseph, & David S. Hage. (2011). High-performance affinity chromatography and the analysis of drug interactions with modified proteins: binding of gliclazide with glycated human serum albumin. Analytical and Bioanalytical Chemistry. 401(9). 2811–2819. 54 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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