Fanggen Lu

1.5k citations
46 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Fanggen Lu

45 papers receiving 1.2k citations

Fanggen Lu's Hit Papers

Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease 2022 · 132 citations
1320+1+2Years since publication4080120

Peers

Fanggen Lu
Comparison fields: 5 of 128
  • Health Informatics 27
  • Gastroenterology 62
  • Food Science 165
  • Radiology, Nuclear Medicine and Imaging 149
  • Nutrition and Dietetics 96
Replace Adolfo Suárez with:
Adolfo Suárez Spain
Jaeyoung Chun South Korea
Thomas Yuen Tung Lam Hong Kong
Liping Ye China
Taku Sakamoto Japan
Haiyue Liu China
Jorge L. Sepulveda United States
Silvia Pecere Italy
Sung Wook Hwang South Korea
Magali Berland France
Fanggen Lu relative to Adolfo Suárez Spain Adolfo Suárez's profile →
Citations per field
00.5×2×4×5.4×
Adolfo Suárez · 1×
Citations per year

Countries citing papers authored by Fanggen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Fanggen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fanggen Lu, 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 Fanggen Lu Line = papers co-authored together Fanggen Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011190
2 2020143
3
Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease
Hit paper breakdown →
2022132
4 201596
5 201660
6 201452
7 201048
8 201141
9 201839
10 201937
11 201631
12 202230
13 202129
14 201925
15 201222
16 201422
17 201322
18 201917
19 202214
20 200913

About Fanggen Lu

Fanggen Lu is a scholar working on Gastroenterology, Infectious Diseases, Surgery, Molecular Biology and Genetics, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diagnosis and treatment of tuberculosis (7 papers), Gut microbiota and health (7 papers), Tuberculosis Research and Epidemiology (4 papers), Inflammatory Bowel Disease (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), COVID-19 diagnosis using AI (2 papers), Gastrointestinal motility and disorders (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Health Informatics (27 citations), Gastroenterology (62 citations), Food Science (165 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Nutrition and Dietetics (96 citations). Fanggen Lu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yani Yin, Xiaowei Liu, Ying Li, Yi-You Zou, Junwen Yang, Muzhou Hou, Chunlian Wang, Zheng Wang, Yi Cui and Linlin Chen. Their work appears in journals such as Scientific Reports, Digestive Diseases and Sciences, Oncology Reports, World Journal of Gastroenterology and Medicine.

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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