Li Ma

125 papers receiving 2.7k citations

Peers

Li Ma
Comparison fields: 5 of 120
  • Behavioral Neuroscience 81
  • Clinical Biochemistry 143
  • Biological Psychiatry 50
  • Neurology 155
  • Cellular and Molecular Neuroscience 354
Replace Peter J. Voshol with:
Peter J. Voshol Netherlands
Wilhelm Krone Germany
Masato Katsuyama Japan
Carles Lerín Spain
Lin Yan China
Masao Kaneki United States
Lucia Sacchetti Italy
José Barreto Campello Carvalheira Brazil
Krisztián Stadler United States
Adrian Chabowski Poland
Li Ma relative to Peter J. Voshol Netherlands Peter J. Voshol's profile →
Citations per field
00.5×1.5×1.9×
Peter J. Voshol · 1×
Citations per year

Countries citing papers authored by Li Ma

Since Specialization
Citations

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

Fields of papers citing papers by Li Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li 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 Li Ma Line = papers co-authored together Li Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003167
2 1997155
3 2017138
4 2003118
5 2014111
6 201096
7 201892
8 200988
9 200482
10 202065
11 201865
12 201758
13 200356
14 200556
15 200451
16 199948
17 200445
18 200343
19 201840
20 202138

About Li Ma

Li Ma is a scholar working on Molecular Biology, Surgery, Oncology, Obstetrics and Gynecology and Immunology, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Pancreatitis Pathology and Treatment (7 papers), Pancreatic function and diabetes (5 papers), Gestational Diabetes Research and Management (5 papers), Drug Transport and Resistance Mechanisms (5 papers), RNA modifications and cancer (5 papers), Birth, Development, and Health (5 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Behavioral Neuroscience (81 citations), Clinical Biochemistry (143 citations), Biological Psychiatry (50 citations), Neurology (155 citations) and Cellular and Molecular Neuroscience (354 citations). Li Ma has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Louise Nicholson, Vytautas P. Bindokas, Dennis L. Murphy, Ghanashyam D. Ghadge, Raymond P. Roos, A. Jennifer Morton, Louis D. Van de Kar, Jiancheng Zhang, Francisca García and Peng Sun. Their work appears in journals such as Scientific Reports, Shock, Biochemical and Biophysical Research Communications, International Immunopharmacology and Frontiers in Endocrinology.

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.

Explore authors with similar magnitude of impact