Hefeng Lin

429 total citations
9 papers, 299 citations indexed

About

Hefeng Lin is a scholar working on Genetics, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Hefeng Lin has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Pathology and Forensic Medicine and 2 papers in Physiology. Recurrent topics in Hefeng Lin's work include Genetic Associations and Epidemiology (3 papers), Smoking Behavior and Cessation (2 papers) and Obesity, Physical Activity, Diet (1 paper). Hefeng Lin is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Smoking Behavior and Cessation (2 papers) and Obesity, Physical Activity, Diet (1 paper). Hefeng Lin collaborates with scholars based in China, Germany and Canada. Hefeng Lin's co-authors include Xiaoming Zhang, Yunlong Lu, Liangrong Zheng, Zhen Wang, Vishnu Goutham Kota, Marios K. Georgakis, Zheyuan Ding, Shi Bai, Lianshun Zheng and Zhouming Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Life Sciences and Medicine.

In The Last Decade

Hefeng Lin

7 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hefeng Lin China	7	75	54	54	53	52	9	299
Padma S. Menon India	16	52 0.7×	58 1.1×	49 0.9×	73 1.4×	52 1.0×	41	706
Th. Kaltsas Greece	9	41 0.5×	64 1.2×	50 0.9×	180 3.4×	31 0.6×	11	578
Sezer Acar Türkiye	9	10 0.1×	94 1.7×	41 0.8×	37 0.7×	96 1.8×	48	366
İbrahim Şahin Türkiye	11	14 0.2×	98 1.8×	19 0.4×	15 0.3×	54 1.0×	51	338
Yongchao Lu China	10	31 0.4×	109 2.0×	30 0.6×	30 0.6×	46 0.9×	25	372
Ghassan Haddad United States	11	16 0.2×	63 1.2×	26 0.5×	10 0.2×	17 0.3×	26	378
Mariet W. Elting Netherlands	13	38 0.5×	95 1.8×	31 0.6×	25 0.5×	171 3.3×	23	772
Esra Hatipoğlu Türkiye	12	20 0.3×	22 0.4×	34 0.6×	55 1.0×	10 0.2×	40	311
Hee Dong Chae South Korea	11	53 0.7×	45 0.8×	14 0.3×	35 0.7×	59 1.1×	27	326
Katsuji Matsuzawa Japan	11	83 1.1×	61 1.1×	49 0.9×	14 0.3×	9 0.2×	17	386

Countries citing papers authored by Hefeng Lin

Since Specialization

Citations

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

Fields of papers citing papers by Hefeng Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hefeng Lin

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

All Works

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9 of 9 papers shown

1.

Xu, Zhiqin, Y. C. Zhu, Bihai Zheng, et al.. (2026). Coupled anatexis and extreme differentiation are the keys for producing giant lithium-rich pegmatites. Proceedings of the National Academy of Sciences. 123(7). e2517372123–e2517372123.

2.

Lu, Yunlong, Yan Guo, Hefeng Lin, Zhen Wang, & Liangrong Zheng. (2021). Genetically determined tobacco and alcohol use and risk of atrial fibrillation. BMC Medical Genomics. 14(1). 73–73. 14 indexed citations

3.

Lu, Yunlong, Zhouming Xu, Marios K. Georgakis, et al.. (2021). Smoking and Heart Failure: A Mendelian Randomization and Mediation Analysis. ESC Heart Failure. 8(3). 1954–1965. 25 indexed citations

4.

Lin, Hefeng, et al.. (2020). Bone marrow mesenchymal stem cells ameliorated kidney fibrosis by attenuating TLR4/NF-κB in diabetic rats. Life Sciences. 262. 118385–118385. 21 indexed citations

5.

Lu, Yunlong, Zhen Wang, Marios K. Georgakis, Hefeng Lin, & Liangrong Zheng. (2020). Genetic Liability to Depression and Risk of Coronary Artery Disease, Myocardial Infarction, and Other Cardiovascular Outcomes. Journal of the American Heart Association. 10(1). e017986–e017986. 65 indexed citations

6.

Lin, Qiuxia, Hefeng Lin, & Shuang Li. (2019). Deep Discriminative Feature Learning for Domain Adaptation. 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). 1–6.

7.

Lin, Hefeng, et al.. (2019). Does chronic obstructive pulmonary disease relate to poor prognosis in patients with lung cancer?. Medicine. 98(11). e14837–e14837. 14 indexed citations

8.

Lin, Hefeng, et al.. (2018). Bone marrow mesenchymal stem cells (BMSCs) improved functional recovery of spinal cord injury partly by promoting axonal regeneration. Neurochemistry International. 115. 80–84. 76 indexed citations

9.

Lin, Hefeng, et al.. (2017). Sentinel lymph node mapping in endometrial cancer: a systematic review and meta-analysis. Oncotarget. 8(28). 46601–46610. 84 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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