Lan Peng

1.2k citations
28 papers · 726 · 1 hit paper · h-index 12

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Immunotherapy and Biomarkers 2
    • Esophageal Cancer Research and Treatment 2

Lan Peng

25 papers receiving 715 citations

Lan Peng's Hit Papers

Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study 2020 · 252 citations
2520+2+4Years since publication50100150200250

Peers

Lan Peng
Comparison fields: 5 of 75
  • Health Informatics 14
  • Oncology 217
  • Cancer Research 106
  • Obstetrics and Gynecology 43
  • Otorhinolaryngology 21
Replace Ji Young Park with:
Ji Young Park South Korea
Carla Wauters Netherlands
S. Sabater Spain
Kiat‐Hon Lim Singapore
Gu‐Wei Ji China
Elisa Meldolesi Italy
Olorunsola F. Agbaje United Kingdom
Zhiqiao Zhang China
Chan‐Young Ock South Korea
Lan Peng relative to Ji Young Park South Korea Ji Young Park's profile →
Citations per field
00.5×3.5×
Ji Young Park · 1×
Citations per year

Countries citing papers authored by Lan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Lan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
Hit paper breakdown →
2020252
2 201861
3 201359
4 201157
5 200848
6 202341
7 201840
8 201034
9 200929
10 201617
11 202216
12 202216
13 201211
14 199710
15
Novel PRKAR1A gene mutations in Carney Complex.
20107
16 20226
17 20175
18 20215
19 20215
20 20222

About Lan Peng

Lan Peng is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 726 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related gene regulation (2 papers), Esophageal Cancer Research and Treatment (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (14 citations), Oncology (217 citations), Cancer Research (106 citations), Obstetrics and Gynecology (43 citations) and Otorhinolaryngology (21 citations). Lan Peng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jeanne Shen, Gerald J. Berry, Jin Long, Daniel L. Rubin, Teri A. Longacre, Brock A. Martin, Rikiya Yamashita, Jeffrey M. Zigman, Sasan Mirfakhraee and Dana Mathews. Their work appears in journals such as Fertility and Sterility, Clinical Cancer Research, Journal of Clinical Oncology, Seminars in Liver Disease and Neoplasia.

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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