Lan Ma

12.2k citations
306 papers · 9.8k · h-index 57

Impact in

Papers in

    • Receptor Mechanisms and Signaling 78
    • Pharmacological Receptor Mechanisms and Effects 15
    • Neuroscience and Neuropharmacology Research 49
    • Neuropeptides and Animal Physiology 49
    • Neurotransmitter Receptor Influence on Behavior 31

Lan Ma

298 papers receiving 9.6k citations

Peers

Lan Ma
Comparison fields: 5 of 168
  • Cellular and Molecular Neuroscience 3.5k
  • Behavioral Neuroscience 432
  • Developmental Neuroscience 446
  • Biological Psychiatry 204
  • Molecular Biology 5.3k
Replace Jian Feng with:
Jian Feng United States
Yu‐Qiang Ding China
Ming Zhao China
Zheng Li China
Miao He China
Patrick B. Allen United States
Jie Lu China
Lei Zhang China
Se‐Young Choi South Korea
Oliver Kretz Germany
Lan Ma relative to Jian Feng United States Jian Feng's profile →
Citations per field
00.5×1.5×2.1×
Jian Feng · 1×
Citations per year

Countries citing papers authored by Lan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Ma Line = papers co-authored together Lan Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 306 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002318
2 2005277
3 2005271
4 2013229
5 2002220
6 2007216
7 2004203
8 2001197
9 2003192
10 2009154
11 2012149
12 2003145
13 1999136
14 2012135
15 2004132
16 2004122
17 2003121
18 2017112
19 2019106
20 2002100

About Lan Ma

Lan Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology and Social Psychology, having authored 306 papers that have together received 9.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (78 papers), Neuroscience and Neuropharmacology Research (49 papers), Neuropeptides and Animal Physiology (49 papers), Neurotransmitter Receptor Influence on Behavior (31 papers), Memory and Neural Mechanisms (29 papers), Neuroendocrine regulation and behavior (19 papers), Pharmacological Receptor Mechanisms and Effects (15 papers) and Stress Responses and Cortisol (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.5k citations), Behavioral Neuroscience (432 citations), Developmental Neuroscience (446 citations), Biological Psychiatry (204 citations) and Molecular Biology (5.3k citations). Lan Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Gang Pei, Gang Pei, Pablo A. Iglesias, Zhi-jie Jey Cheng, Feifei Wang, Gang Pei, Jian Zhao, Yue Sun, Yalan Wu and Gang Pei. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Cell Research, Journal of Neurochemistry and Proceedings of the National Academy of 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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