Minghong Ma

4.2k total citations
71 papers, 2.7k citations indexed

About

Minghong Ma is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Minghong Ma has authored 71 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Sensory Systems, 39 papers in Cellular and Molecular Neuroscience and 31 papers in Nutrition and Dietetics. Recurrent topics in Minghong Ma's work include Olfactory and Sensory Function Studies (45 papers), Neurobiology and Insect Physiology Research (34 papers) and Biochemical Analysis and Sensing Techniques (31 papers). Minghong Ma is often cited by papers focused on Olfactory and Sensory Function Studies (45 papers), Neurobiology and Insect Physiology Research (34 papers) and Biochemical Analysis and Sensing Techniques (31 papers). Minghong Ma collaborates with scholars based in United States, China and France. Minghong Ma's co-authors include Xavier Grosmaître, Gordon M. Shepherd, Huikai Tian, Jie Tan, Minmin Luo, Agnès Savigner, J. Koester, Wenqin Luo, Peter Mombaerts and Janardhan P. Bhattarai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Minghong Ma

67 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minghong Ma United States 32 1.8k 1.6k 1.2k 525 362 71 2.7k
Thomas Bozza United States 19 1.9k 1.0× 1.7k 1.1× 1.2k 1.0× 450 0.9× 202 0.6× 25 2.3k
Xiaoke Chen United States 19 702 0.4× 748 0.5× 719 0.6× 429 0.8× 591 1.6× 37 2.3k
Debra Ann Fadool United States 29 1.4k 0.8× 1.4k 0.9× 1.0k 0.9× 308 0.6× 1.1k 3.1× 73 3.0k
Abdallah Hayar United States 23 1.1k 0.6× 1.3k 0.8× 631 0.5× 254 0.5× 299 0.8× 47 2.0k
Steven L. Youngentob United States 32 2.1k 1.2× 1.0k 0.6× 1.2k 1.0× 641 1.2× 293 0.8× 66 2.7k
Foteos Macrides United States 32 2.3k 1.3× 1.9k 1.2× 1.0k 0.8× 378 0.7× 324 0.9× 49 3.4k
Johannes Reisert United States 28 1.8k 1.0× 1.8k 1.1× 1.1k 0.9× 452 0.9× 604 1.7× 53 2.5k
Roberto Tirindelli Italy 26 1.7k 1.0× 1.4k 0.9× 1.2k 1.0× 259 0.5× 300 0.8× 54 2.3k
Geoffrey H. Gold United States 19 2.4k 1.3× 2.6k 1.6× 1.7k 1.4× 504 1.0× 1.0k 2.8× 21 3.7k
Nathan E. Schoppa United States 22 1.5k 0.8× 2.0k 1.3× 738 0.6× 371 0.7× 1.1k 3.2× 34 2.8k

Countries citing papers authored by Minghong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Minghong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Minghong Ma. A scholar is included among the top collaborators of Minghong Ma 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 Minghong Ma. Minghong Ma 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
1.
Wang, Yingjie, Minghong Ma, Wei Yan, et al.. (2025). Discovery and biological evaluation of hederagenin derivatives as non-substrate inhibitors of P-glycoprotein-mediated multidrug resistance. European Journal of Medicinal Chemistry. 289. 117428–117428.
2.
Gadziola, Marie A., et al.. (2025). Dopaminergic signaling to ventral striatum neurons initiates sniffing behavior. Nature Communications. 16(1). 336–336. 3 indexed citations
3.
4.
Kim, Bowon, Yingqi Wang, Hyun‐Soo Shin, et al.. (2024). Circuit mechanism underlying fragmented sleep and memory deficits in 16p11.2 deletion mouse model of autism. iScience. 27(12). 111285–111285. 1 indexed citations
5.
Gautam, Mayank, Akihiro Yamada, Qinxue Wu, et al.. (2024). Distinct local and global functions of mouse Aβ low-threshold mechanoreceptors in mechanical nociception. Nature Communications. 15(1). 2911–2911. 10 indexed citations
6.
Zhang, Yun Feng, Yingqi Wang, Janardhan P. Bhattarai, et al.. (2023). Ventral striatal islands of Calleja neurons bidirectionally mediate depression-like behaviors in mice. Nature Communications. 14(1). 21 indexed citations
7.
Ma, Minghong, et al.. (2022). Organization and engagement of a prefrontal-olfactory network during olfactory selective attention. Cerebral Cortex. 33(4). 1504–1526. 16 indexed citations
8.
Jiang, Haowu, Mayank Gautam, Barbara A. Miller, et al.. (2021). TRPC3 Antagonizes Pruritus in a Mouse Contact Dermatitis Model. Journal of Investigative Dermatology. 142(4). 1136–1144. 3 indexed citations
9.
Ratnanather, J. Tilak, Michael I. Miller, Vidyulata Kamath, et al.. (2021). A comparative neuroimaging perspective of olfaction and higher-order olfactory processing: on health and disease. Seminars in Cell and Developmental Biology. 129. 22–30. 10 indexed citations
10.
Grosmaître, Xavier & Minghong Ma. (2018). Odor-Induced Electrical and Calcium Signals from Olfactory Sensory Neurons In Situ. Methods in molecular biology. 1820. 147–155. 1 indexed citations
11.
Olson, William, Ishmail Abdus-Saboor, Lian Cui, et al.. (2017). Sparse genetic tracing reveals regionally specific functional organization of mammalian nociceptors. eLife. 6. 39 indexed citations
12.
Challis, Rosemary C., Huikai Tian, Jue Wang, et al.. (2015). An Olfactory Cilia Pattern in the Mammalian Nose Ensures High Sensitivity to Odors. Current Biology. 25(19). 2503–2512. 45 indexed citations
13.
Block, Eric, Zhen Li, Timothy Connelly, et al.. (2012). Crucial role of copper in detection of metal-coordinating odorants. Proceedings of the National Academy of Sciences. 109(9). 3492–3497. 85 indexed citations
14.
Ma, Minghong. (2012). Odor and Pheromone Sensing Via Chemoreceptors. Advances in experimental medicine and biology. 739. 93–106. 18 indexed citations
15.
He, Jiwei, et al.. (2011). Olfactory Marker Protein Is Critical for Functional Maturation of Olfactory Sensory Neurons and Development of Mother Preference. Journal of Neuroscience. 31(8). 2974–2982. 81 indexed citations
16.
Savigner, Agnès, Patricia Duchamp‐Viret, Xavier Grosmaître, et al.. (2009). Modulation of Spontaneous and Odorant-Evoked Activity of Rat Olfactory Sensory Neurons by Two Anorectic Peptides, Insulin and Leptin. Journal of Neurophysiology. 101(6). 2898–2906. 87 indexed citations
17.
Grosmaître, Xavier, Anne Vassalli, Peter Mombaerts, Gordon M. Shepherd, & Minghong Ma. (2006). Odorant responses of olfactory sensory neurons expressing the odorant receptor MOR23: A patch clamp analysis in gene-targeted mice. Proceedings of the National Academy of Sciences. 103(6). 1970–1975. 127 indexed citations
18.
Tian, Huikai & Minghong Ma. (2004). Molecular Organization of the Olfactory Septal Organ. Journal of Neuroscience. 24(38). 8383–8390. 51 indexed citations
19.
Ma, Minghong, et al.. (1994). Transcallosal circuitry revealed by blocking and disinhibiting callosal input in the cat. Visual Neuroscience. 11(2). 189–197. 18 indexed citations
20.
Ma, Minghong, et al.. (1987). HB F-Xin-Su orAγT73(E17)Asp→His: A New Slow-Moving Fetal Hemoglobin Variant. Hemoglobin. 11(5). 473–479. 4 indexed citations

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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