Mio Li

1.2k citations
19 papers · 982 · h-index 12

Impact in

Papers in

Mio Li

18 papers receiving 966 citations

Peers

Mio Li
Comparison fields: 5 of 76
  • Cancer Research 271
  • Pulmonary and Respiratory Medicine 341
  • Oncology 274
  • Immunology and Allergy 56
  • Radiology, Nuclear Medicine and Imaging 171
Replace Wolf‐Dietrich Beecken with:
Wolf‐Dietrich Beecken Germany
Sue-Hwa Lin United States
Catherine Park United States
Silvia Vosseler Germany
A. Eberhard Canada
Kotaro Kameyama Japan
Kimberly W. McCrudden United States
Tatsuya Yoshimasu Japan
Shraddha A. Ravani United States
Sana Yokoi Japan
Mio Li relative to Wolf‐Dietrich Beecken Germany Wolf‐Dietrich Beecken's profile →
Citations per field
00.5×1.7×
Wolf‐Dietrich Beecken · 1×
Citations per year

Countries citing papers authored by Mio Li

Since Specialization
Citations

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

Fields of papers citing papers by Mio Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Evaluation of angiogenesis in non-small cell lung cancer: comparison between anti-CD34 antibody and anti-CD105 antibody.
2001226
2 2005196
3
Expression of angiopoietins and its clinical significance in non-small cell lung cancer.
2002129
4
Expression of polysialic acid and STX, a human polysialyltransferase, is correlated with tumor progression in non-small cell lung cancer.
2000113
5
Prognostic significance of polysialic acid expression in resected non-small cell lung cancer.
200164
6 199955
7 200339
8 200538
9 200236
10 200024
11
Glomeruloid microvascular proliferation is superior to intratumoral microvessel density as a prognostic marker in non-small cell lung cancer.
200322
12 200416
13 200010
14 20024
15 20024
16 20053
17 20032
18 20151
19 20000

About Mio Li

Mio Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 982 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Medical Imaging and Pathology Studies (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Medical Imaging Techniques and Applications (3 papers), Pleural and Pulmonary Diseases (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (271 citations), Pulmonary and Respiratory Medicine (341 citations), Oncology (274 citations), Immunology and Allergy (56 citations) and Radiology, Nuclear Medicine and Imaging (171 citations). Mio Li has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiromi Wada, Fumihiro Tanaka, Kazuhiro Yanagihara, Ryo Miyahara, Yozo Kawano, Yosuke Otake, Nobuharu Hanaoka, Kenji Inui, Tatsuo Nakagawa and Tomoko Yamada. Their work appears in journals such as Lung Cancer, The Annals of Thoracic Surgery, Neoplasia, Journal of Clinical Oncology and Surgery Today.

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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