Denghai Mi

764 citations
35 papers · 501 indexed · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 6
    • Cancer Immunotherapy and Biomarkers 4
    • Colorectal Cancer Treatments and Studies 4

Denghai Mi

33 papers receiving 487 citations

Peers

Denghai Mi
Comparison fields: 5 of 83
  • Drug Discovery 2
  • Cancer Research 94
  • Oncology 145
  • Pulmonary and Respiratory Medicine 151
  • Biochemistry 27
Replace Quanlin Guan with:
Quanlin Guan China
Minfeng Ye China
Kensuke Mitsunari Japan
Maddalena Leongito Italy
Qiuping Xie China
Sifeng Tao China
Yufei Wang China
Maurizio Capuozzo Italy
Denghai Mi relative to Quanlin Guan China Quanlin Guan's profile →
Citations per field
00.5×1.5×
Quanlin Guan · 1×
Citations per year

Countries citing papers authored by Denghai Mi

Since Specialization
Citations

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

Fields of papers citing papers by Denghai Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 202062
3 202359
4 201355
5 201726
6 202023
7 201220
8 201620
9 202020
10 200814
11 202113
12 202012
13 202311
14 201611
15 200711
16 202110
17 20238
18 20217
19 20066
20 20205

About Denghai Mi

Denghai Mi is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 35 papers that have together received 501 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Ferroptosis and cancer prognosis (6 papers), Cancer-related molecular mechanisms research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Drug Discovery (2 citations), Cancer Research (94 citations), Oncology (145 citations), Pulmonary and Respiratory Medicine (151 citations) and Biochemistry (27 citations). Denghai Mi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yandong Miao, Jiangtao Wang, Kehu Yang, Zheng Li, Nong Cao, Bin Ma, Jinhui Tian, Xiaolong Tang, Lei Jiang and Yuan Yang. Their work appears in journals such as Biomarkers in Medicine, International Journal of Hyperthermia, World Journal of Gastroenterology, PeerJ and IET Systems Biology.

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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