Denghai Mi

797 citations
34 papers · 561 · h-index 12

Impact in

Papers in

    • Cancer-related molecular mechanisms research 5
    • Cancer, Hypoxia, and Metabolism 3
    • Colorectal Cancer Treatments and Studies 4

Denghai Mi

33 papers receiving 545 citations

Peers

Denghai Mi
Comparison fields: 5 of 82
  • Drug Discovery 2
  • Oncology 119
  • Cancer Research 64
  • Nutrition and Dietetics 66
  • Biochemistry 26
Replace Quanlin Guan with:
Quanlin Guan China
Liang Wei China
Suraj Konnath George United States
Atsuo Hattori Japan
K.C. Balaji United States
Olga Renner Germany
Jingwen Deng China
Yu‐Chi Chen United States
Jinping Zhao China
Minfeng Ye China
Denghai Mi relative to Quanlin Guan China Quanlin Guan's profile →
Citations per field
00.5×1.5×2×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202379
2 201079
3 202067
4 201361
5 201728
6 202026
7 202022
8 201621
9 201220
10 200816
11 202115
12 202312
13 202312
14 201612
15 202012
16 200711
17 202110
18 20218
19 20226
20 20066

About Denghai Mi

Denghai Mi is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Immunology and Pathology and Forensic Medicine, having authored 34 papers that have together received 561 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cancer-related molecular mechanisms research (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Drug Discovery (2 citations), Oncology (119 citations), Cancer Research (64 citations), Nutrition and Dietetics (66 citations) and Biochemistry (26 citations). Denghai Mi has collaborated with scholars based in China, New Zealand and Brazil. Frequent co-authors include Yandong Miao, Jiangtao Wang, Zheng Li, Kehu Yang, Nong Cao, Xiaolong Tang, Bin Ma, Jinhui Tian, Lei Jiang and Yuan Yang. Their work appears in journals such as Biomarkers in Medicine, International Journal of Hyperthermia, IET Systems Biology, World Journal of Gastroenterology and PeerJ.

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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