Henglin Yan

15 total papers · 790 total citations
13 papers, 641 citations indexed

About

Henglin Yan is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Henglin Yan has authored 13 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Developmental Neuroscience and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Henglin Yan's work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neonatal and fetal brain pathology (4 papers). Henglin Yan is often cited by papers focused on Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neonatal and fetal brain pathology (4 papers). Henglin Yan collaborates with scholars based in United States, Sweden and China. Henglin Yan's co-authors include Scott A. Rivkees, Timothy Othman, Christopher P. Turner, Patrick M. Wood, Michael A. Schwartz, Giles W. Plant, Mary Bartlett Bunge, Björn Johansson, Bertil B. Fredholm and Laura R. Ment and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemical Journal.

In The Last Decade

Henglin Yan

13 papers receiving 632 citations

Author Peers

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

Author						Papers	Cites
Henglin Yan	250	219	194	162	111	13	641
Mary Herman	228 0.9×	59 0.3×	180 0.9×	237 1.5×	36 0.3×	12	626
R. H. A. Kemper	172 0.7×	130 0.6×	196 1.0×	70 0.4×	32 0.3×	9	702
Telma T. Schwindt	161 0.6×	193 0.9×	279 1.4×	118 0.7×	21 0.2×	21	670
Sabine Herold	288 1.2×	322 1.5×	290 1.5×	39 0.2×	61 0.5×	13	745
Febilla Fernando	232 0.9×	93 0.4×	267 1.4×	64 0.4×	66 0.6×	7	659
Katrin Trautmann	193 0.8×	78 0.4×	312 1.6×	112 0.7×	34 0.3×	26	763
F. Lasbennes	279 1.1×	49 0.2×	318 1.6×	57 0.4×	43 0.4×	16	624
Mark Dunleavy	319 1.3×	55 0.3×	299 1.5×	39 0.2×	74 0.7×	21	682
Paul Robichaud	91 0.4×	71 0.3×	203 1.0×	46 0.3×	110 1.0×	17	662
Laura Thei	206 0.8×	150 0.7×	246 1.3×	15 0.1×	232 2.1×	12	787

Countries citing papers authored by Henglin Yan

Since Specialization

Citations

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

Fields of papers citing papers by Henglin Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henglin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Henglin Yan. A scholar is included among the top collaborators of Henglin Yan 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 Henglin Yan. Henglin Yan 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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