Jennifer M. Wang

1.6k total citations
34 papers, 1.2k citations indexed

About

Jennifer M. Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jennifer M. Wang has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jennifer M. Wang's work include Photoreceptor and optogenetics research (17 papers), Neuroscience and Neuropharmacology Research (10 papers) and Photosynthetic Processes and Mechanisms (8 papers). Jennifer M. Wang is often cited by papers focused on Photoreceptor and optogenetics research (17 papers), Neuroscience and Neuropharmacology Research (10 papers) and Photosynthetic Processes and Mechanisms (8 papers). Jennifer M. Wang collaborates with scholars based in United States, Russia and Spain. Jennifer M. Wang's co-authors include Janos Κ. Lanyi, Sergei P. Balashov, Eleonora S. Imasheva, Vladimir A. Boichenko, Andrei K. Dioumaev, Brigitte Schobert, Jason R. Stagno, Hartmut Luecke, Kenneth H. Rubin and Brett Laursen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jennifer M. Wang

33 papers receiving 1.2k citations

Peers

Jennifer M. Wang
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 819
  • Molecular Biology 619
  • Biomedical Engineering 115
  • Clinical Psychology 91
  • Social Psychology 77
Replace H. Krause with:
H. Krause Germany
Francesca Antonelli Italy
Frank R. Wendt United States
Yoshinori Yamakawa Japan
Sarah S. Garber United States
John T. Farrow United States
J. M. McDonald United States
Е. А. Громова Russia
Hong Deng China
Akef Obeidat Saudi Arabia
H. Krause Germany View profile →
Citations per field, relative to Jennifer M. Wang
Jennifer M. Wang · 1×
Citations per year, relative to Jennifer M. Wang
Jennifer M. Wang · 1×

Countries citing papers authored by Jennifer M. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Wang. A scholar is included among the top collaborators of Jennifer M. Wang 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 Jennifer M. Wang. Jennifer M. Wang 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 1
2 3
3 0
4 7
5 2
6 4
7 13
8 3
9 13
10 42
11 43
12 32
13 27
14 19
15 9
16 42
17 21
18 18
19 38
20 268

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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