Gu Mi

1.1k citations
44 papers · 620 indexed · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Peptidase Inhibition and Analysis
    • Gastrointestinal Tumor Research and Treatment

Papers in

    • Cancer Immunotherapy and Biomarkers 13
    • Colorectal Cancer Treatments and Studies 12
    • Pancreatic and Hepatic Oncology Research 7
    • CAR-T cell therapy research 5
    • Statistical Methods in Clinical Trials 5

Gu Mi

38 papers receiving 615 citations

Peers

Gu Mi
Comparison fields: 5 of 62
  • Oncology 440
  • Gastroenterology 59
  • Hepatology 77
  • Pulmonary and Respiratory Medicine 240
  • Immunology 102
Replace Antonio Cubillo Gracián with:
Antonio Cubillo Gracián Spain
Juan A. Santamaria‐Barria United States
María Luisa Limón Spain
Holly Kemberling United States
Larsolof Hafström Sweden
Yulin Tan China
Pedro Luiz Serrano Usón Brazil
Naoshi Nishida Japan
Takumi Onoyama Japan
Teruyuki SAKAGUCHI Japan
Gu Mi relative to Antonio Cubillo Gracián Spain Antonio Cubillo Gracián's profile →
Citations per field
00.5×12×
Antonio Cubillo Gracián · 1×
Citations per year

Countries citing papers authored by Gu Mi

Since Specialization
Citations

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

Fields of papers citing papers by Gu Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018123
2 2020103
3 202044
4 201627
5 201926
6 201724
7 201223
8 202022
9 201722
10 201919
11 201819
12 201819
13 201515
14 201715
15
Extreme short-term prediction of ship motion based on chaotic theory and RBF neural network
201312
16 201712
17 201611
18 201710
19 202310
20 20168

About Gu Mi

Gu Mi is a scholar working on Oncology, Statistics and Probability, Pulmonary and Respiratory Medicine, Hematology and Biotechnology, having authored 44 papers that have together received 620 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Colorectal Cancer Treatments and Studies (12 papers), Gastric Cancer Management and Outcomes (10 papers), Pancreatic and Hepatic Oncology Research (7 papers), CAR-T cell therapy research (5 papers), Statistical Methods in Clinical Trials (5 papers), Immune Cell Function and Interaction (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (440 citations), Gastroenterology (59 citations), Hepatology (77 citations), Pulmonary and Respiratory Medicine (240 citations) and Immunology (102 citations). Gu Mi has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Roy S. Herbst, David Ferry, Ian Chau, Emiliano Calvo, Hendrik‐Tobias Arkenau, Nicolas Penel, Jin Jin, Johanna C. Bendell, Rafael Santana-Dávila and Matthew Krebs. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Thoracic Oncology, PLoS ONE and Contemporary Clinical Trials.

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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2026