Michael Yu

1.7k citations
59 papers · 1.0k indexed · h-index 16

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer Cells and Metastasis

Papers in

    • Glioma Diagnosis and Treatment 14
    • Cancer Immunotherapy and Biomarkers 11
    • Lung Cancer Research Studies 5
    • Cancer Cells and Metastasis 4

Michael Yu

51 papers receiving 1.0k citations

Peers

Michael Yu
Comparison fields: 5 of 99
  • Oncology 455
  • Health Informatics 20
  • Genetics 146
  • Pulmonary and Respiratory Medicine 324
  • Cancer Research 119
Replace Kelsey L. Pomykala with:
Kelsey L. Pomykala Germany
Lara R. Heij Netherlands
Nicholas C. Spies United States
Chao Ma China
Ling Deng China
Ekokobe Fonkem United States
Bernd Lahrmann Germany
Jacob New United States
Marian Blazes United States
Yuwei Xia China
Michael Yu relative to Kelsey L. Pomykala Germany Kelsey L. Pomykala's profile →
Citations per field
00.5×3.3×
Kelsey L. Pomykala · 1×
Citations per year

Countries citing papers authored by Michael Yu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 2016107
3 201799
4 200883
5 201273
6 202064
7 201553
8 201246
9 201243
10 201034
11 202034
12 201827
13 202022
14 201719
15 201018
16 201616
17 200815
18 201615
19 201714
20 201113

About Michael Yu

Michael Yu is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (19 papers), Glioma Diagnosis and Treatment (14 papers), Cancer Immunotherapy and Biomarkers (11 papers), Liver Disease Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (5 papers), Cancer Cells and Metastasis (4 papers), Medical Imaging Techniques and Applications (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (455 citations), Health Informatics (20 citations), Genetics (146 citations), Pulmonary and Respiratory Medicine (324 citations) and Cancer Research (119 citations). Michael Yu has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Weg M. Ongkeko, Selena Z. Kuo, Jessica Wang‐Rodriguez, Alan Kiang, Arnold B. Etame, Solmaz Sahebjam, Kamran A. Ahmed, Peter A.S. Johnstone, Eric Y. Chang and Jaideep Chakladar. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, PLoS ONE and Medical Physics.

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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