Hong Mu

667 citations
31 papers · 520 indexed · h-index 13
Topics
DNA Repair Mechanisms (15 papers)DNA and Nucleic Acid Chemistry (14 papers)Carcinogens and Genotoxicity Assessment (6 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBiochemistry
Partner nations
United StatesChinaJapan

In The Last Decade

Hong Mu

29 papers receiving 517 citations

Peers

Hong Mu
Comparison fields: 5 of 75
  • Molecular Biology 425
  • Cancer Research 128
  • Oncology 67
  • Genetics 56
  • Pathology and Forensic Medicine 46
Replace M.A. Willington with:
M.A. Willington United Kingdom
Hiroyuki Kouji Japan
Shiori Furukawa Japan
Jun Pu China
Elangovan Thavathiru United States
Katsuyoshi Fujikawa Japan
Laura A. Christensen United States
Liliana Carreño‐Fuentes Mexico
Masazumi Nagai United States
Hong Mu relative to M.A. Willington United Kingdom M.A. Willington's profile →
Citations per field
00.5×10×15×19.5×
M.A. Willington · 1×
Citations per year

Countries citing papers authored by Hong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Mu. A scholar is included among the top collaborators of Hong Mu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong Mu. Hong Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 7
4 3
5 4
6
Diagnosis and treatment of carotid body tumors.
7
7 11
8 5
9 59
10 1
11 20
12 31
13 9
14 12
15 53
16 58
17 9
18 22
19 26
20
Transformation of Wheat with Insecticide Gene of Arrowhead Proteinase Inhibitor by Pollen Tube Pathway and Analysis of Transgenic Plants
1

About Hong Mu

Hong Mu is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 31 papers that have together received 520 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), DNA and Nucleic Acid Chemistry (14 papers) and Carcinogens and Genotoxicity Assessment (6 papers). The work is most often cited by research in Cancer Research (128 citations), Molecular Biology (425 citations) and Pathology and Forensic Medicine (46 citations). Hong Mu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Suse Broyde, Nicholas E. Geacintov, Jung‐Hyun Min, Yingkai Zhang, Konstantin Kropachev, Debamita Paul, Orlando D. Schärer, Yuqin Cai, Alexander Kolbanovskiy and Marina Kolbanovskiy. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Biochemistry.

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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