Ya‐Huan Lou

67 total papers · 1.4k total citations
50 papers, 1.2k citations indexed

About

Ya‐Huan Lou is a scholar working on Immunology, Immunology and Allergy and Reproductive Medicine. According to data from OpenAlex, Ya‐Huan Lou has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Immunology, 9 papers in Immunology and Allergy and 7 papers in Reproductive Medicine. Recurrent topics in Ya‐Huan Lou's work include T-cell and B-cell Immunology (19 papers), Reproductive System and Pregnancy (10 papers) and Cell Adhesion Molecules Research (9 papers). Ya‐Huan Lou is often cited by papers focused on T-cell and B-cell Immunology (19 papers), Reproductive System and Pregnancy (10 papers) and Cell Adhesion Molecules Research (9 papers). Ya‐Huan Lou collaborates with scholars based in United States, Japan and Brazil. Ya‐Huan Lou's co-authors include Jean Wu, Jason Borillo, Kenneth S. K. Tung, Cindy Zhou, John Hicks, William F. Glass, Colin Carlock, Hiroya Takahashi, Lisa K. Torres and Henry P. Adams and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Ya‐Huan Lou

50 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Ya‐Huan Lou	592	195	181	179	161	50	1.2k
Xiaobo Wu	846 1.4×	229 1.2×	156 0.9×	109 0.6×	11 0.1×	36	1.4k
I Virtanen	248 0.4×	702 3.6×	149 0.8×	243 1.4×	22 0.1×	32	1.4k
Akihiro Konno	549 0.9×	398 2.0×	76 0.4×	142 0.8×	21 0.1×	37	1.2k
Harry W. Snyder	615 1.0×	466 2.4×	155 0.9×	85 0.5×	18 0.1×	42	1.4k
Julie Crow	218 0.4×	139 0.7×	155 0.9×	307 1.7×	182 1.1×	34	1.1k
Lucienne Papadaki	268 0.5×	124 0.6×	98 0.5×	19 0.1×	87 0.5×	35	954
Peter P. H. De Bruyn	226 0.4×	296 1.5×	121 0.7×	150 0.8×	21 0.1×	33	1.2k
Philippe Frachet	760 1.3×	474 2.4×	129 0.7×	310 1.7×	11 0.1×	38	1.5k
Diana Tronik‐Le Roux	549 0.9×	251 1.3×	70 0.4×	92 0.5×	132 0.8×	37	1.1k
N. Kraft	355 0.6×	341 1.7×	61 0.3×	123 0.7×	9 0.1×	48	1.0k

Countries citing papers authored by Ya‐Huan Lou

Since Specialization

Citations

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

Fields of papers citing papers by Ya‐Huan Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Huan Lou. 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 Ya‐Huan Lou. The network helps show where Ya‐Huan Lou may publish in the future.

Co-authorship network of co-authors of Ya‐Huan Lou

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

All Works

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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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