Mei Su

461 total citations
28 papers, 403 citations indexed

About

Mei Su is a scholar working on Immunology, Oncology and Immunology and Allergy. According to data from OpenAlex, Mei Su has authored 28 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Oncology and 10 papers in Immunology and Allergy. Recurrent topics in Mei Su's work include Cell Adhesion Molecules Research (10 papers), T-cell and B-cell Immunology (7 papers) and Immune Response and Inflammation (6 papers). Mei Su is often cited by papers focused on Cell Adhesion Molecules Research (10 papers), T-cell and B-cell Immunology (7 papers) and Immune Response and Inflammation (6 papers). Mei Su collaborates with scholars based in United States, Germany and Australia. Mei Su's co-authors include Steven J. Mentzer, Charles A. West, Francisco S. Pardo, Chufa He, Carmia Borek, Alan J. Young, Steven Swanson, Moritz A. Konerding, Timothy W. Secomb and Karen S. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer Research.

In The Last Decade

Mei Su

27 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mei Su 143 143 138 42 33 28 403
Г. И. Дейчман 214 1.5× 160 1.1× 216 1.6× 34 0.8× 33 1.0× 41 554
T. Ochiai 114 0.8× 85 0.6× 66 0.5× 27 0.6× 31 0.9× 16 364
Gene P. Siegal 236 1.7× 121 0.8× 191 1.4× 40 1.0× 56 1.7× 12 489
Herbert R. Lamche 194 1.4× 163 1.1× 249 1.8× 21 0.5× 29 0.9× 18 542
Christie Fanton 198 1.4× 267 1.9× 288 2.1× 20 0.5× 32 1.0× 26 587
Linhua Tian 224 1.6× 223 1.6× 72 0.5× 59 1.4× 31 0.9× 26 490
Vladimı́r Leksa 247 1.7× 115 0.8× 67 0.5× 47 1.1× 25 0.8× 24 479
Rachel Seidman 197 1.4× 133 0.9× 199 1.4× 40 1.0× 32 1.0× 8 445
Manjunatha Ankathatti Munegowda 171 1.2× 292 2.0× 102 0.7× 19 0.5× 33 1.0× 15 461
Keman Zhang 317 2.2× 153 1.1× 208 1.5× 25 0.6× 17 0.5× 26 543

Countries citing papers authored by Mei Su

Since Specialization
Citations

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

Fields of papers citing papers by Mei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Su

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Su. A scholar is included among the top collaborators of Mei Su 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 Mei Su. Mei Su 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.
Savoia, Elena, et al.. (2023). A Quasi-Experimental Intervention Trial to Test the Efficacy of a Human Trafficking Awareness Campaign: The Blue Campaign. Journal of Human Trafficking. 1–20. 2 indexed citations
2.
Hussein, Waleed M., Phil M. Choi, Cheng Zhang, et al.. (2016). Evaluation of Lipopeptides as Toll-like Receptor 2 Ligands. Current Drug Delivery. 14(7). 935–943. 9 indexed citations
3.
Varnes, Jeffrey, Thomas W. Gero, Shan Huang, et al.. (2014). Towards the next generation of dual Bcl-2/Bcl-xL inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(14). 3026–3033. 14 indexed citations
4.
Zeng, Wanyong, Mei Su, Karen S. Anderson, & Tetsuro Sasada. (2014). Artificial antigen-presenting cells expressing CD80, CD70, and 4-1BB ligand efficiently expand functional T cells specific to tumor-associated antigens. Immunobiology. 219(8). 583–592. 24 indexed citations
5.
Hainz, Ursula, Martha Wadleigh, Donna Neuberg, et al.. (2012). Detecting T-cell reactivity to whole cell vaccines. OncoImmunology. 1(7). 1095–1103. 14 indexed citations
6.
Anderson, Karen S., Wanyong Zeng, Tetsuro Sasada, et al.. (2011). Impaired tumor antigen processing by immunoproteasome-expressing CD40-activated B cells and dendritic cells. Cancer Immunology Immunotherapy. 60(6). 857–867. 11 indexed citations
7.
Almeida, Lynsie, Susan Ashwell, Patrick Brassil, et al.. (2007). Structure activity and structure property relationships of a novel series of potent inhibitors of Checkpoint kinases. 6. 1 indexed citations
8.
West, Charles A., G. Fischer, Alan J. Young, et al.. (2002). Biochemical changes in the efferent lymph plasma after oxazolone stimulation. Developmental & Comparative Immunology. 26(1). 111–119. 2 indexed citations
9.
West, Charles A., Chunbo He, Alan J. Young, et al.. (2002). Spatial variation of plasma flow in the oxazolone-stimulated microcirculation. Inflammation Research. 51(12). 572–578. 5 indexed citations
10.
Su, Mei, Charles A. West, Alan J. Young, et al.. (2002). Dynamic deformation of migratory efferent lymph‐derived cells “trapped” in the inflammatory microcirculation. Journal of Cellular Physiology. 194(1). 54–62. 4 indexed citations
11.
West, Charles A., Chufa He, Mei Su, et al.. (2001). Stochastic Regulation of Cell Migration from the Efferent Lymph to Oxazolone-Stimulated Skin. The Journal of Immunology. 166(3). 1517–1523. 17 indexed citations
12.
Su, Mei, Charles A. West, Chufa He, et al.. (2001). EFFECT OF SHEAR STRESS ON EFFERENT LYMPH-DERIVED LYMPHOCYTES IN CONTACT WITH ACTIVATED ENDOTHELIAL MONOLAYERS. In Vitro Cellular & Developmental Biology - Animal. 37(9). 599–599. 18 indexed citations
13.
Su, Mei, Chufa He, Charles A. West, & Steven J. Mentzer. (2001). Cytolytic peptides induce biphasic permeability changes in mammalian cell membranes. Journal of Immunological Methods. 252(1-2). 63–71. 19 indexed citations
14.
Zhao, Ting C., Chufa He, Mei Su, et al.. (2001). Cell adhesion molecule expression in the sheep thymus. Developmental & Comparative Immunology. 25(5-6). 519–530. 3 indexed citations
15.
West, Charles A., Chufa He, Mei Su, Steven Swanson, & Steven J. Mentzer. (2001). Aldehyde Fixation of Thiol-reactive Fluorescent Cytoplasmic Probes for Tracking Cell Migration. Journal of Histochemistry & Cytochemistry. 49(4). 511–517. 19 indexed citations
16.
Su, Mei, Chufa He, Charles A. West, & Steven J. Mentzer. (2000). Generation of Sheep X (Sheep X Mouse) Heterohybridoma Cell Line Expressing the Beta-1 Integrin Membrane Molecule. Hybridoma. 19(1). 81–87. 3 indexed citations
17.
Hsu, Dora W., et al.. (1997). High PCNA index in meningiomas resistant to radiation therapy. International Journal of Radiation Oncology*Biology*Physics. 38(3). 463–468. 7 indexed citations
18.
Pardo, Francisco S., Mei Su, & Carmia Borek. (1996). Cyclin D1 induced apoptosis maintains the integrity of the G1/S checkpoint following ionizing radiation irradiation. Somatic Cell and Molecular Genetics. 22(2). 135–144. 38 indexed citations
19.
Lewis, Anne Marie, et al.. (1996). Relationship between intrinsic radiation sensitivity and metastatic potential. International Journal of Radiation Oncology*Biology*Physics. 34(1). 103–110. 11 indexed citations
20.
Holländer, Georg A., Emanuela Castigli, Mei Su, et al.. (1996). Induction of alloantigen-specific tolerance by B cells from CD40-deficient mice.. Proceedings of the National Academy of Sciences. 93(10). 4994–4998. 48 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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