Lun Gu

954 citations
13 papers · 594 · 1 hit paper · h-index 7

Impact in

Papers in

    • Colorectal Cancer Screening and Detection 4
    • Extracellular vesicles in disease 2
    • ATP Synthase and ATPases Research 1

Lun Gu

13 papers receiving 580 citations

Lun Gu's Hit Papers

Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis 2019 · 396 citations
3960+2+4Years since publication100200300

Peers

Lun Gu
Comparison fields: 5 of 59
  • Oncology 369
  • Health Informatics 9
  • Pulmonary and Respiratory Medicine 128
  • Radiology, Nuclear Medicine and Imaging 76
  • Gastroenterology 14
Replace Ekkasit Tharavichitkul with:
Ekkasit Tharavichitkul Thailand
Ana García‐Rodríguez Spain
Edwin J. Lai United States
Tomohiro Minami Japan
Mitsuaki Ishioka Japan
Raymond Kelly Ireland
Hélène Regnault France
Emanuele Vita Italy
Chikara Ogawa Japan
Tomohiro Matsushima Japan
Lun Gu relative to Ekkasit Tharavichitkul Thailand Ekkasit Tharavichitkul's profile →
Citations per field
00.5×
Ekkasit Tharavichitkul · 1×
Citations per year

Countries citing papers authored by Lun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis
Hit paper breakdown →
2019396
2 202057
3 201848
4 202325
5 202317
6 201916
7 20178
8 20226
9 20236
10 20185
11 20255
12 20203
13 20242

About Lun Gu

Lun Gu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Pharmacology, having authored 13 papers that have together received 594 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Gallbladder and Bile Duct Disorders (2 papers), Extracellular vesicles in disease (2 papers), ATP Synthase and ATPases Research (1 paper), Cannabis and Cannabinoid Research (1 paper), MicroRNA in disease regulation (1 paper), Galectins and Cancer Biology (1 paper) and Health Literacy and Information Accessibility (1 paper). The work is most often cited by research in Oncology (369 citations), Health Informatics (9 citations), Pulmonary and Respiratory Medicine (128 citations), Radiology, Nuclear Medicine and Imaging (76 citations) and Gastroenterology (14 citations). Lun Gu has collaborated with scholars based in China and United States. Frequent co-authors include Shengbing Zhao, Shuling Wang, Zhaoshen Li, Xin Chang, Peng Pan, Jun Yao, Zhijie Wang, Tian Xia, Xia Yang and Wei Qian. Their work appears in journals such as Gastrointestinal Endoscopy, Frontiers in Oncology, BMC Medicine, International Immunopharmacology and Frontiers in Public Health.

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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