Lan Ma

12k citations
288 papers · 9.9k · h-index 57

Impact in

Papers in

    • Neurotransmitter Receptor Influence on Behavior 50
    • Neuropeptides and Animal Physiology 34
    • Neuroscience and Neuropharmacology Research 17
    • Receptor Mechanisms and Signaling 30
    • Protein Kinase Regulation and GTPase Signaling 7

Lan Ma

280 papers receiving 9.7k citations

Peers

Lan Ma
Comparison fields: 5 of 157
  • Cellular and Molecular Neuroscience 2.4k
  • Developmental Neuroscience 424
  • Molecular Biology 3.3k
  • Behavioral Neuroscience 135
  • Genetics 310
Replace Ingo Bechmann with:
Ingo Bechmann Germany
Stanley J. Wiegand United States
Christine Stadelmann Germany
Vladimir Berezin Denmark
Todd Eliot Golde United States
Dragan Maric United States
Uwe‐Karsten Hanisch Germany
Ying Zhang China
Jochen Wolfgang Herms Germany
Howard J. Federoff United States
Lan Ma relative to Ingo Bechmann Germany Ingo Bechmann's profile →
Citations per field
00.5×1.5×
Ingo Bechmann · 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 288 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002323
2 2005281
3 2005278
4 2013249
5 2007222
6 2002218
7 2004202
8 2001197
9 2003195
10 2009151
11 2012149
12 2003146
13 2012139
14 1999137
15 2004131
16 2003122
17 2004122
18 2019122
19 2017113
20 200298

About Lan Ma

Lan Ma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Genetics and Oncology, having authored 288 papers that have together received 9.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (50 papers), Neuropeptides and Animal Physiology (34 papers), Receptor Mechanisms and Signaling (30 papers), Memory and Neural Mechanisms (22 papers), Neuroscience and Neuropharmacology Research (17 papers), Mesenchymal stem cell research (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Developmental Neuroscience (424 citations), Molecular Biology (3.3k citations), Behavioral Neuroscience (135 citations) and Genetics (310 citations). Lan Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gang Pei, Gang Pei, Pablo A. Iglesias, Zhi-jie Jey Cheng, Feifei Wang, Gang Pei, Guobin Bao, Jian Zhao, Yue Sun and Yalan Wu. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Proceedings of the National Academy of Sciences, Journal of Neurochemistry and Scientific Reports.

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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