Fangda Leng

3.1k total citations · 1 hit paper
10 papers, 2.1k citations indexed

About

Fangda Leng is a scholar working on Physiology, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Fangda Leng has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Neurology and 3 papers in Psychiatry and Mental health. Recurrent topics in Fangda Leng's work include Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Fangda Leng is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Fangda Leng collaborates with scholars based in China, United Kingdom and Denmark. Fangda Leng's co-authors include Paul Edison, David J. Brooks, Rainer Hinz, Steve Gentleman, Melanie Dani, Adam Hampshire, Qi Xiong, Yuxian Li, Hengge Xie and Feng Gao and has published in prestigious journals such as Molecular Psychiatry, Nature Reviews Neurology and Journal of Alzheimer s Disease.

In The Last Decade

Fangda Leng

9 papers receiving 2.1k 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.

Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?

2020 2.0k citations Fangda Leng, Paul Edison Nature Reviews Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangda Leng China	4	953	944	692	409	233	10	2.1k
Arnold Salazar United States	9	548 0.6×	859 0.9×	536 0.8×	319 0.8×	123 0.5×	15	1.8k
Andrew S. Murtishaw United States	10	575 0.6×	875 0.9×	520 0.8×	341 0.8×	115 0.5×	17	1.8k
Saba Aïd France	20	759 0.8×	658 0.7×	669 1.0×	340 0.8×	269 1.2×	28	2.2k
Morena Zusso Italy	24	701 0.7×	498 0.5×	699 1.0×	227 0.6×	389 1.7×	49	2.3k
Shane M. Bemiller United States	10	1.5k 1.6×	1.4k 1.4×	684 1.0×	471 1.2×	644 2.8×	14	3.0k
Kirk Townsend United States	14	634 0.7×	782 0.8×	703 1.0×	206 0.5×	165 0.7×	20	1.9k
Elisa Mitiko Kawamoto Brazil	29	465 0.5×	661 0.7×	922 1.3×	248 0.6×	169 0.7×	67	2.6k
Elisa Navarro Spain	17	686 0.7×	343 0.4×	944 1.4×	324 0.8×	196 0.8×	33	2.1k
Claire J. Garwood United Kingdom	22	752 0.8×	1.1k 1.1×	675 1.0×	164 0.4×	132 0.6×	32	1.9k
Soraya L. Vallés Spain	30	695 0.7×	543 0.6×	908 1.3×	242 0.6×	223 1.0×	57	2.9k

Countries citing papers authored by Fangda Leng

Since Specialization

Citations

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

Fields of papers citing papers by Fangda Leng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangda Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Fangda Leng. A scholar is included among the top collaborators of Fangda Leng 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 Fangda Leng. Fangda Leng 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:

10 of 10 papers shown

1.

Leng, Fangda, et al.. (2025). Network models suggest constitutional expression of innate immune molecules are protective against amyloid and tau propagation. Alzheimer s & Dementia. 21(S1). e098143–e098143.

2.

Leng, Fangda, Fang Liu, Ying Zhu, et al.. (2025). Iron deposition is associated with motor and non-motor network breakdown in parkinsonism. Frontiers in Aging Neuroscience. 16. 1518155–1518155. 1 indexed citations

3.

Leng, Fangda, et al.. (2025). Cortical Diffusivity, a Biomarker for Early Neuronal Damage, Is Associated with Amyloid-β Deposition: A Pilot Study. Cells. 14(3). 155–155. 1 indexed citations

4.

Leng, Fangda, Rainer Hinz, Steve Gentleman, et al.. (2024). Combined Neuroinflammation and Amyloid PET Markers in Predicting Disease Progression in Cognitively Impaired Subjects. Journal of Alzheimer s Disease. 100(3). 973–986. 1 indexed citations

5.

Li, Yuxian, Fangda Leng, Qi Xiong, et al.. (2022). Factors Associated With Alzheimer’s Disease Patients’ Caregiving Status and Family Caregiving Burden in China. Frontiers in Aging Neuroscience. 14. 865933–865933. 10 indexed citations

6.

Leng, Fangda, Rainer Hinz, Steve Gentleman, et al.. (2022). Neuroinflammation is independently associated with brain network dysfunction in Alzheimer’s disease. Molecular Psychiatry. 28(3). 1303–1311. 66 indexed citations

7.

Li, Bei, Dejun Liu, Qiaoqin Wan, et al.. (2022). Differences in treatment for Alzheimer's disease between urban and rural areas in China. Frontiers in Neurology. 13. 996093–996093. 6 indexed citations

8.

Leng, Fangda, et al.. (2022). Factors associated with Alzheimer’s disease patients’ caregiving status and family caregivingburden in China. Alzheimer s & Dementia. 18(S8). 1 indexed citations

9.

Leng, Fangda & Paul Edison. (2020). Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?. Nature Reviews Neurology. 17(3). 157–172. 2020 indexed citations breakdown →

10.

Leng, Fangda, Lu Jiang, Lin Nong, et al.. (2018). Value of top‐hat procedure in management of squamous intraepithelial lesion. Journal of obstetrics and gynaecology research. 45(1). 182–188. 3 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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