Shenhong Wu

444 total citations
8 papers, 372 citations indexed

About

Shenhong Wu is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Shenhong Wu has authored 8 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Dermatology. Recurrent topics in Shenhong Wu's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Shenhong Wu is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Shenhong Wu collaborates with scholars based in United States, Italy and China. Shenhong Wu's co-authors include Andrea J. Sant, Bahiru Gametchu, Cheryl S. Watson, Francisco A. Chaves, Scott A. Jenks, Jason M. Weaver, Katherine A. Richards, Christopher A. Lazarski, Stephanie Ceman and Theodore S. Jardetzky and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Shenhong Wu

8 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shenhong Wu United States	7	237	150	72	56	38	8	372
Stanislaw Morkowski United States	6	278 1.2×	148 1.0×	45 0.6×	21 0.4×	32 0.8×	8	421
Pamela P. Brauer United States	8	211 0.9×	108 0.7×	87 1.2×	47 0.8×	22 0.6×	9	360
Mitsuaki Kakinuma Japan	13	117 0.5×	181 1.2×	16 0.2×	41 0.7×	40 1.1×	33	391
Guy Mahouy France	9	155 0.7×	118 0.8×	63 0.9×	20 0.4×	35 0.9×	25	367
Ronald Winston United States	12	130 0.5×	129 0.9×	77 1.1×	35 0.6×	31 0.8×	23	351
Silvia M. Bacot United States	8	147 0.6×	195 1.3×	24 0.3×	43 0.8×	51 1.3×	10	344
V.C. Suraj France	4	297 1.3×	58 0.4×	16 0.2×	125 2.2×	36 0.9×	5	424
Alfons Billiau Belgium	7	184 0.8×	60 0.4×	15 0.2×	29 0.5×	26 0.7×	8	347
P N Tsichlis United States	11	155 0.7×	234 1.6×	17 0.2×	128 2.3×	90 2.4×	12	465
Lyse Santoro France	6	110 0.5×	186 1.2×	24 0.3×	158 2.8×	42 1.1×	7	368

Countries citing papers authored by Shenhong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shenhong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenhong Wu

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

All Works

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8 of 8 papers shown

Wu, Shenhong, et al.. (2013). Intracellular localization and association of MHC class I with porcine invariant chain. Genetics and Molecular Research. 12(1). 693–701. 1 indexed citations

Lazarski, Christopher A., Francisco A. Chaves, Scott A. Jenks, et al.. (2005). The Kinetic Stability of MHC Class II:Peptide Complexes Is a Key Parameter that Dictates Immunodominance. Immunity. 23(1). 29–40. 187 indexed citations

Chaves, Francisco A., et al.. (2005). Replacement of the membrane proximal region of I-Ad MHC class II molecule with I-E-derived sequences promotes production of an active and stable soluble heterodimer without altering peptide-binding specificity. Journal of Immunological Methods. 300(1-2). 74–92. 8 indexed citations

Palma, Raffaele De, Shenhong Wu, Federica Sallusto, et al.. (1999). Use of Antagonist Peptides to Inhibit In Vitro T Cell Responses to Par j1, the Major Allergen of Parietaria judaica Pollen. The Journal of Immunology. 162(4). 1982–1987. 15 indexed citations

Sant, Andrea J., Craig Beeson, Benjamin J. McFarland, et al.. (1999). Individual hydrogen bonds play a critical role in MHC class II:peptide interactions: implications for the dynamic aspects of class II trafficking and DM‐mediated peptide exchange. Immunological Reviews. 172(1). 239–253. 33 indexed citations

Ceman, Stephanie, Shenhong Wu, Theodore S. Jardetzky, & Andrea J. Sant. (1998). Alteration of a Single Hydrogen Bond between Class II Molecules and Peptide Results in Rapid Degradation of Class II Molecules after Invariant Chain Removal. The Journal of Experimental Medicine. 188(11). 2139–2149. 25 indexed citations

Wu, Shenhong & Jack Gorski. (1996). The MHC class II-associated invariant chain-derived peptide CLIP binds to the peptide-binding groove of class II molecules. Molecular Immunology. 33(4-5). 371–377. 8 indexed citations

Gametchu, Bahiru, Cheryl S. Watson, & Shenhong Wu. (1993). Use of receptor antibodies to demonstrate membrane glucocorticoid receptor in cells from human leukemic patients. The FASEB Journal. 7(13). 1283–1293. 95 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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