Long Ma

829 citations
30 papers · 633 · h-index 12

Impact in

Papers in

Long Ma

28 papers receiving 623 citations

Peers

Long Ma
Comparison fields: 5 of 101
  • Developmental Neuroscience 113
  • Neurology 93
  • Cellular and Molecular Neuroscience 205
  • Virology 27
  • Sensory Systems 18
Replace Francesca Paoletti with:
Francesca Paoletti Italy
João José Lachat Brazil
Tatsuro Tanaka Japan
Labchan Rajbhandari United States
P Landes France
Elena Appel Israel
Vanessa Douet United States
Fernando Martínez López Spain
Nicholas P. Whitney United States
Ming-Hong Tai Taiwan
Long Ma relative to Francesca Paoletti Italy Francesca Paoletti's profile →
Citations per field
00.5×5.4×
Francesca Paoletti · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021106
2 202396
3 200262
4 200359
5 200153
6 200044
7 200531
8 199928
9 201627
10 200923
11 200522
12 200718
13 202410
14 202010
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 20236
18 20243
19 20183
20 20233

About Long Ma

Long Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Psychiatry and Mental health, having authored 30 papers that have together received 633 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Neurological Complications and Syndromes (3 papers), Moyamoya disease diagnosis and treatment (3 papers), Nanoplatforms for cancer theranostics (2 papers), Pain Mechanisms and Treatments (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (113 citations), Neurology (93 citations), Cellular and Molecular Neuroscience (205 citations), Virology (27 citations) and Sensory Systems (18 citations). Long Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Luis F. Parada, Jussi Merenmies, Jizong Zhao, Wen‐Jun Tu, Lin-Jian Wang, Yimeng Xue, Hancheng Qiu, Eric E. Turner, Stephanie Eng and Lei Lei. Their work appears in journals such as Development, Scientific Reports, Sleep Medicine, Medicine and Sensors and Actuators A Physical.

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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