Feng Ru Tang

2.6k citations
85 papers · 2.1k indexed · h-index 28
Topics
Neuroscience and Neuropharmacology Research (30 papers)Neurogenesis and neuroplasticity mechanisms (23 papers)Neuroinflammation and Neurodegeneration Mechanisms (13 papers)
Partner nations
SingaporeChinaAustralia

In The Last Decade

Feng Ru Tang

80 papers receiving 2.1k citations

Peers

Feng Ru Tang
Comparison fields: 5 of 132
  • Molecular Biology 818
  • Cellular and Molecular Neuroscience 594
  • Radiology, Nuclear Medicine and Imaging 314
  • Cancer Research 259
  • Developmental Neuroscience 257
Replace Abdelhaq Rami with:
Abdelhaq Rami Germany
Krista L. Moulder United States
Yuyi You Australia
Lars Tönges Germany
Maheedhar Kodali United States
B. Joy Snider United States
Philipp Mergenthaler Germany
Peter A. Wilce Australia
Nadine Kabbani United States
James J. Vornov United States
Feng Ru Tang relative to Abdelhaq Rami Germany Abdelhaq Rami's profile →
Citations per field
00.5×3.2×
Abdelhaq Rami · 1×
Citations per year

Countries citing papers authored by Feng Ru Tang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ru Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Ru Tang. 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 Feng Ru Tang. The network helps show where Feng Ru Tang may publish in the future.

Co-authorship network of co-authors of Feng Ru Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ru Tang. A scholar is included among the top collaborators of Feng Ru Tang 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 Feng Ru Tang. Feng Ru Tang 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 0
2 1
3 18
4 4
5 39
6 20
7 11
8 4
9 3
10 13
11 11
12 97
13 109
14 30
15 24
16 30
17 41
18 19
19 49
20 42

About Feng Ru Tang

Feng Ru Tang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Neurogenesis and neuroplasticity mechanisms (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). The work is most often cited by research in Developmental Neuroscience (257 citations), Cellular and Molecular Neuroscience (594 citations) and Neurology (215 citations). Feng Ru Tang has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Weng Keong Loke, Gautam Sethi, Boo Cheong Khoo, K. Loganovsky, Yong Tang, Frank Arfuso, M.K. Sim, Bo Ren, Zhaowu Ma and Dongliang Ma. Their work appears in journals such as NeuroImage, Brain Research and International Journal of Molecular Sciences.

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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