Long Ma

877 citations
32 papers · 673 · h-index 12

Impact in

Papers in

Long Ma

28 papers receiving 660 citations

Peers

Long Ma
Comparison fields: 5 of 104
  • Developmental Neuroscience 94
  • Neurology 94
  • Cellular and Molecular Neuroscience 180
  • Virology 33
  • Sensory Systems 15
Replace Labchan Rajbhandari with:
Labchan Rajbhandari United States
Vanessa Douet United States
Jonathan W. Francis United States
P Landes France
Rhiannon J. Wood Australia
Stephan Theiss Germany
You Zhou China
Markus Schäfer Germany
Nicholas P. Whitney United States
Long Ma relative to Labchan Rajbhandari United States Labchan Rajbhandari's profile →
Citations per field
00.5×2×3×3.8×
Labchan Rajbhandari · 1×
Citations per year

Countries citing papers authored by Long Ma

Since Specialization
Citations

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

Fields of papers citing papers by Long Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023135
2 2021115
3 200266
4 200356
5 200152
6 200042
7 201634
8 200531
9 200524
10 200923
11 200719
12 202213
13 202411
14 20237
15
B-lymphocyte alloantigens and HLA-D determinants in a North American white population.
19777
16
Ruptured abdominal aortic aneurysms--prognostic indicators and complications affecting mortality. A local experience.
19957
17 20244
18 20244
19 20204
20 20243

About Long Ma

Long Ma is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Rheumatology and Hematology, having authored 32 papers that have together received 673 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Neurological Complications and Syndromes (3 papers), Nerve injury and regeneration (3 papers), Nuclear Receptors and Signaling (2 papers), Pain Mechanisms and Treatments (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (94 citations), Neurology (94 citations), Cellular and Molecular Neuroscience (180 citations), Virology (33 citations) and Sensory Systems (15 citations). Long Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Luis F. Parada, Jizong Zhao, Wen‐Jun Tu, Yimeng Xue, Jussi M. Merenmies, Hancheng Qiu, Ding Nie, Lin-Jian Wang, Liangcan He and Stephanie Eng. Their work appears in journals such as Development, Scientific Reports, Medicine, Theranostics and International Journal of Developmental Neuroscience.

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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