Junfen Fu

183 papers receiving 3.6k citations

Junfen Fu's Hit Papers

Dysfunction of autophagy in high-fat diet-induced non-alcoholic fatty liver disease 2023 · 96 citations
960+1+2Years since publication255075

Peers

Junfen Fu
Comparison fields: 5 of 148
  • Endocrinology, Diabetes and Metabolism 771
  • Reproductive Medicine 163
  • Genetics 538
  • Endocrine and Autonomic Systems 125
  • Epidemiology 576
Replace Tommaso Trenti with:
Tommaso Trenti Italy
Carla Lubrano Italy
PENELOPE M. S. CLARK United Kingdom
Konstantinos K. Tsilidis Greece
Adrian Hugh Heald United Kingdom
Xuefeng Yu China
Stefania Mariani Italy
Vincenzo Triggiani Italy
Yuhong Zhao China
Jian Shen China
Junfen Fu relative to Tommaso Trenti Italy Tommaso Trenti's profile →
Citations per field
00.5×1.5×2×2.4×
Tommaso Trenti · 1×
Citations per year

Countries citing papers authored by Junfen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Junfen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junfen Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junfen Fu Line = papers co-authored together Junfen Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018174
2 2014137
3 2008124
4 2019115
5 2022111
6 2019100
7 1995100
8 202099
9
Dysfunction of autophagy in high-fat diet-induced non-alcoholic fatty liver disease
Hit paper breakdown →
202396
10 201686
11 201880
12 201177
13 202057
14 202356
15 202056
16 202156
17 201855
18 201353
19 202353
20 201049

About Junfen Fu

Junfen Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Epidemiology, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 196 papers that have together received 3.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (20 papers), Liver Disease Diagnosis and Treatment (19 papers), Diabetes Management and Research (14 papers), Pancreatic function and diabetes (10 papers), Hypothalamic control of reproductive hormones (10 papers), Obesity, Physical Activity, Diet (8 papers), Regulation of Appetite and Obesity (8 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (771 citations), Reproductive Medicine (163 citations), Genetics (538 citations), Endocrine and Autonomic Systems (125 citations) and Epidemiology (576 citations). Junfen Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Rahim Ullah, Guanping Dong, Tatsuhiko Urakami, David M. Maahs, Philip Scott Zeitler, Qiang Shu, Jianhua Mao, Nikhil Tandon, Shiqiang Shang and Qing Ye. Their work appears in journals such as World Journal of Pediatrics, Pediatric Diabetes, Frontiers in Endocrinology, Acta Paediatrica and Hormone Research in Paediatrics.

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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