Tenglong Guo

425 citations
18 papers · 335 indexed · h-index 8
Topics
Plant Molecular Biology Research (4 papers)Research in Cotton Cultivation (3 papers)Advanced Memory and Neural Computing (3 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Tenglong Guo

17 papers receiving 326 citations

Peers

Tenglong Guo
Comparison fields: 5 of 47
  • Plant Science 262
  • Molecular Biology 173
  • Cancer Research 45
  • Electrical and Electronic Engineering 23
  • Insect Science 15
Replace Martina Lummer with:
Martina Lummer Germany
Hemangi G. Chaudhari United States
Xiaomei Hu China
Atul Kakrana United States
Yanan Duan China
Lulu Gao China
Tomoyuki Furukawa Japan
Xiang Sun China
Qinglian Wang China
Veenu Aishwarya India
Tenglong Guo relative to Martina Lummer Germany Martina Lummer's profile →
Citations per field
00.5×11.5×
Martina Lummer · 1×
Citations per year

Countries citing papers authored by Tenglong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Tenglong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tenglong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Tenglong Guo. A scholar is included among the top collaborators of Tenglong Guo 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 Tenglong Guo. Tenglong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 5
4 1
5 3
6 12
7 5
8 8
9 1
10 3
11 39
12 10
13 13
14 179
15 25
16
Frequency and distance of pollen dispersal from transgenic cotton.
5
17 23
18
Inheritance and segregation of transgenic cotton
2

About Tenglong Guo

Tenglong Guo is a scholar working on Ceramics and Composites, Plant Science and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 335 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Research in Cotton Cultivation (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Plant Science (262 citations), Cancer Research (45 citations) and Molecular Biology (173 citations). Tenglong Guo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Baohong Zhang, Qinglian Wang, Kunbo Wang, Todd A. Anderson, Xiaoping Pan, George P. Cobb, Fang Liu, Runrun Sun, Don C. Jones and Baohong Zhang. Their work appears in journals such as Journal of the American Ceramic Society, Gene and Journal of Materials Chemistry C.

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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