Ming Tao

231 papers receiving 4.5k citations

Ming Tao's Hit Papers

Positive feedback regulation between glycolysis and histone lactylation drives oncogenesis in pancreatic ductal adenocarcinoma 2024 · 156 citations
1560+1+2Years since publication50100150

Peers

Ming Tao
Comparison fields: 5 of 172
  • Computer Networks and Communications 641
  • Biological Psychiatry 60
  • Molecular Biology 1.6k
  • Cancer Research 338
  • Oncology 448
Replace Yuhong Liu with:
Yuhong Liu China
Xiaolan Zhang China
Xiangyu Zhang China
Ji Young Park South Korea
Jigang Wang China
Gene Kim United States
Feng Pan China
David Cohen United States
Eun Kyung Lee South Korea
Y-H. Chen Taiwan
Ming Tao relative to Yuhong Liu China Yuhong Liu's profile →
Citations per field
00.5×1.5×1.8×
Yuhong Liu · 1×
Citations per year

Countries citing papers authored by Ming Tao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018176
2 2016166
3
Positive feedback regulation between glycolysis and histone lactylation drives oncogenesis in pancreatic ductal adenocarcinoma
Hit paper breakdown →
2024156
4
Microfluidic bioprinting of tough hydrogel-based vascular conduits for functional blood vessels
Hit paper breakdown →
2022151
5 2001144
6 2017127
7 199889
8
Intratumor cellular heterogeneity and alterations in ras oncogene and p53 tumor suppressor gene in human prostate carcinoma.
199586
9 202083
10 201772
11 201070
12 199269
13 201868
14 201164
15 200463
16 201861
17 201460
18 201660
19 201959
20 201958

About Ming Tao

Ming Tao is a scholar working on Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering, Surgery and Oncology, having authored 255 papers that have together received 4.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (22 papers), Pancreatic and Hepatic Oncology Research (11 papers), IPv6, Mobility, Handover, Networks, Security (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (9 papers), Cardiovascular Disease and Adiposity (8 papers), Receptor Mechanisms and Signaling (8 papers) and Mast cells and histamine (8 papers). The work is most often cited by research in Computer Networks and Communications (641 citations), Biological Psychiatry (60 citations), Molecular Biology (1.6k citations), Cancer Research (338 citations) and Oncology (448 citations). Ming Tao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ron Bihovsky, Kaoru Ota, Mianxiong Dong, C. Keith Ozaki, Gregory J. Wells, Robert L. Hudkins, John P. Mallamo, Kurt A. Josef, Peng Yu and Rita Raddatz. Their work appears in journals such as Journal of Vascular Surgery, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, IEEE Internet of Things Journal and Arteriosclerosis Thrombosis and Vascular 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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