Lite Yang

1.1k total citations · 2 hit papers
6 papers, 458 citations indexed

About

Lite Yang is a scholar working on Developmental Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lite Yang has authored 6 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental Neuroscience, 3 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lite Yang's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (1 paper) and Single-cell and spatial transcriptomics (1 paper). Lite Yang is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (1 paper) and Single-cell and spatial transcriptomics (1 paper). Lite Yang collaborates with scholars based in United States and Israel. Lite Yang's co-authors include William Renthal, Clifford J. Woolf, Riki Kawaguchi, Ivan Tochitsky, Yung‐Chih Cheng, Emmy Li, Daniel H. Geschwind, Mengyi Xu, Dan Levy and Jia Li and has published in prestigious journals such as Neuron, Pain and Cell Reports.

In The Last Decade

Lite Yang

6 papers receiving 454 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transcriptional Reprogramming of Distinct Peripheral Sensory Neuron Subtypes after Axonal Injury

2020 298 citations William Renthal, Ivan Tochitsky et al. Neuron profile →
Human and mouse trigeminal ganglia cell atlas implicates multiple cell types in migraine

2022 97 citations Lite Yang, Mengyi Xu et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lite Yang United States	4	206	180	139	86	73	6	458
Laura Batti Switzerland	11	206 1.0×	103 0.6×	157 1.1×	45 0.5×	134 1.8×	20	557
В. В. Гусельникова Russia	7	121 0.6×	72 0.4×	188 1.4×	94 1.1×	108 1.5×	43	499
Stéphane D. Girard France	14	221 1.1×	178 1.0×	173 1.2×	147 1.7×	97 1.3×	20	645
Chuanxi Xiang United States	12	124 0.6×	121 0.7×	159 1.1×	48 0.6×	73 1.0×	17	474
Hamid Moha ou Maati France	14	182 0.9×	102 0.6×	343 2.5×	47 0.5×	86 1.2×	22	622
Vitali Belzer Israel	11	159 0.8×	213 1.2×	185 1.3×	64 0.7×	125 1.7×	15	502
Michelle M. Giddens United States	9	133 0.6×	78 0.4×	216 1.6×	50 0.6×	89 1.2×	11	511
Claúdia Lopes United States	9	254 1.2×	223 1.2×	217 1.6×	35 0.4×	61 0.8×	11	620
Xiao Ren United States	14	90 0.4×	125 0.7×	148 1.1×	31 0.4×	72 1.0×	25	386

Countries citing papers authored by Lite Yang

Since Specialization

Citations

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

Fields of papers citing papers by Lite Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lite Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Bhatia, Parth, et al.. (2023). Epigenomic profiling of mouse nucleus accumbens at single-cell resolution. Molecular and Cellular Neuroscience. 126. 103857–103857. 2 indexed citations

2.

Avraham, Oshri, Alexander Chamessian, Lite Yang, et al.. (2022). Profiling the molecular signature of satellite glial cells at the single cell level reveals high similarities between rodents and humans. Pain. 163(12). 2348–2364. 45 indexed citations

3.

Yang, Lite, Mengyi Xu, Shamsuddin A. Bhuiyan, et al.. (2022). Human and mouse trigeminal ganglia cell atlas implicates multiple cell types in migraine. Neuron. 110(11). 1806–1821.e8. 97 indexed citations breakdown →

4.

Elbaz, Benayahu, Lite Yang, Sara Isaac, et al.. (2022). Sensory neurons display cell-type-specific vulnerability to loss of neuron-glia interactions. Cell Reports. 40(3). 111130–111130. 13 indexed citations

5.

Yang, Lite, Ivan Tochitsky, Clifford J. Woolf, & William Renthal. (2021). Isolation of Nuclei from Mouse Dorsal Root Ganglia for Single-nucleus Genomics. BIO-PROTOCOL. 11(15). e4102–e4102. 3 indexed citations

6.

Renthal, William, Ivan Tochitsky, Lite Yang, et al.. (2020). Transcriptional Reprogramming of Distinct Peripheral Sensory Neuron Subtypes after Axonal Injury. Neuron. 108(1). 128–144.e9. 298 indexed citations breakdown →

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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