Xiaojing Cong
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 13
- Lipid Membrane Structure and Behavior 4
-
- Neuropeptides and Animal Physiology 5
- Co-authors
- Jérôme Golebiowski (13 shared papers)Paolo Carloni (8 shared papers)Giulia Rossetti (4 shared papers)Sébastien Granier (7 shared papers)Giuseppe Legname (3 shared papers)Rocco Caliandro (1 shared paper)Sébastien Fiorucci (3 shared papers)Rémy Sounier (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Chemical Theory and Computation (2 papers)Molecular Cell (1 paper)The FASEB Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceGermanySouth Korea
In The Last Decade
Xiaojing Cong
32 papers receiving 605 citations
Peers
Comparison fields: 5 of 86
- Sensory Systems 66
- Cellular and Molecular Neuroscience 184
- Molecular Biology 419
- Nutrition and Dietetics 90
- Neurology 43
Countries citing papers authored by Xiaojing Cong
This map shows the geographic impact of Xiaojing Cong'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 Xiaojing Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Cong more than expected).
Fields of papers citing papers by Xiaojing Cong
This network shows the impact of papers produced by Xiaojing Cong. 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 Xiaojing Cong. The network helps show where Xiaojing Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2011 | 58 | |
| 3 | 2021 | 50 | |
| 4 | 2014 | 39 | |
| 5 | 2020 | 36 | |
| 6 | 2022 | 35 | |
| 7 | 2021 | 34 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 21 | |
| 10 | 2015 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2024 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2008 | 13 | |
| 20 | 2015 | 11 |
About Xiaojing Cong
Xiaojing Cong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Nutrition and Dietetics and Organic Chemistry, having authored 33 papers that have together received 607 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Olfactory and Sensory Function Studies (5 papers), Neuropeptides and Animal Physiology (5 papers), Computational Drug Discovery Methods (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Sensory Systems (66 citations), Cellular and Molecular Neuroscience (184 citations), Molecular Biology (419 citations), Nutrition and Dietetics (90 citations) and Neurology (43 citations). Xiaojing Cong has collaborated with scholars based in France, Germany and South Korea. Frequent co-authors include Jérôme Golebiowski, Paolo Carloni, Giulia Rossetti, Sébastien Granier, Giuseppe Legname, Rocco Caliandro, Sébastien Fiorucci, Rémy Sounier, Jérémie Topin and Yiqun Yu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Chemical Theory and Computation, Molecular Cell, The FASEB Journal and PLoS ONE.
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.