Feng Feng

1.3k total citations
31 papers, 765 citations indexed

About

Feng Feng is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Feng Feng has authored 31 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Feng Feng's work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Feng Feng is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Feng Feng collaborates with scholars based in United States, China and Germany. Feng Feng's co-authors include William S. Klug, David Muthui, Yon Hwangbo, Scott J. Brodie, James I. Mullins, David C. Nickle, Sarah Holte, Lawrence Corey, Tuofu Zhu and Satish S. Nair and has published in prestigious journals such as Journal of Neuroscience, The Science of The Total Environment and Journal of Virology.

In The Last Decade

Feng Feng

30 papers receiving 751 citations

Peers

Feng Feng
Comparison fields: 5 of 125
  • Molecular Biology 264
  • Virology 237
  • Infectious Diseases 150
  • Immunology 132
  • Cognitive Neuroscience 109
Replace Wen Kang with:
Wen Kang China
Matthew N. McCarroll United States
Masashi Morita Japan
Dharmeshkumar Patel United States
A Duval France
Brian Watts United States
Rachel Burt Australia
Gang Cao China
Vincent T. Ciavatta United States
Leonardo D’Aiuto United States
Wen Kang China View profile →
Citations per field, relative to Feng Feng
Feng Feng · 1×
Citations per year, relative to Feng Feng
Feng Feng · 1×

Countries citing papers authored by Feng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Feng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Feng. A scholar is included among the top collaborators of Feng Feng 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 Feng. Feng Feng 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
# Work Indexed citations
1 0
2 2
3 19
4 1
5 2
6 6
7 3
8 23
9 15
10 13
11 16
12 6
13 14
14 25
15 22
16 32
17 22
18 5
19
Nuclear reprogramming: the zygotic transcription program is established through an "erase.and-rebuild" strategy
23
20 99

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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