Guangmin Nong

24 papers receiving 261 citations

Peers

Guangmin Nong
Comparison fields: 5 of 75
  • Molecular Biology 71
  • Endocrinology, Diabetes and Metabolism 54
  • Plant Science 53
  • Physiology 44
  • Immunology 44
Replace Antoni Riera‐Escamilla with:
Antoni Riera‐Escamilla Spain
Monica T. Jimenez United States
Soon-Chye Ng Singapore
Xiaolei Yao China
Chengliang Xiong China
Feixue Li China
P. Bielfeld Germany
Giorgia Rizzo Italy
F. Guerrero Sánchez Belgium
L Bélair France
Guangmin Nong relative to Antoni Riera‐Escamilla Spain Antoni Riera‐Escamilla's profile →
Citations per field
00.5×3.7×
Antoni Riera‐Escamilla · 1×
Citations per year

Countries citing papers authored by Guangmin Nong

Since Specialization
Citations

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

Fields of papers citing papers by Guangmin Nong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangmin Nong

This figure shows the co-authorship network connecting the top 25 collaborators of Guangmin Nong. A scholar is included among the top collaborators of Guangmin Nong 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 Guangmin Nong. Guangmin Nong 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 0
3 8
4 4
5 6
6 26
7 4
8 10
9 1
10 7
11 1
12 7
13 7
14 1
15 11
16
[Primary immunodeficiency diseases in children: clinical analysis of 35 cases].
2
17 10
18
Pasteuria spp.: Systematics and Phylogeny of These Bacterial Parasites of Phytopathogenic Nematodes.
33
19 75
20
[Cloning and analysis of the regulatory gene fragment induced with seed extract in Rhizobium huakuii strain 7653R].
2

About Guangmin Nong

Guangmin Nong is a scholar working on Emergency Medical Services, Speech and Hearing and Physiology, having authored 25 papers that have together received 266 indexed citations. Recurring topics across this work include Pediatric health and respiratory diseases (7 papers), Smoking Behavior and Cessation (4 papers) and School Health and Nursing Education (3 papers). The work is most often cited by research in Aquatic Science (27 citations), Endocrinology, Diabetes and Metabolism (54 citations) and Physiology (13 citations). Guangmin Nong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Christopher H.K. Cheng, Leo Tsz On Lee, James F. Preston, Dennis W. Dickson, Hongmei Sun, J. A. Brito, Robin M. Giblin-davis, J. E. Maruniak, Zhiyong Zhang and Jonathan P. Winickoff. Their work appears in journals such as Applied and Environmental Microbiology, Gene and International Journal of Environmental Research and Public Health.

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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