Gang Ma

875 total citations · 1 hit paper
33 papers, 647 citations indexed

About

Gang Ma is a scholar working on Surgery, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Gang Ma has authored 33 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Gang Ma's work include Intensive Care Unit Cognitive Disorders (6 papers), Anesthesia and Neurotoxicity Research (4 papers) and Esophageal Cancer Research and Treatment (2 papers). Gang Ma is often cited by papers focused on Intensive Care Unit Cognitive Disorders (6 papers), Anesthesia and Neurotoxicity Research (4 papers) and Esophageal Cancer Research and Treatment (2 papers). Gang Ma collaborates with scholars based in China, United States and Japan. Gang Ma's co-authors include Hanju Sun, Lingyan Gao, Xiao Li, Lei Wang, Tao Zhang, Pei Hui, Shuyun Liu, Kejian Guo, Tao Zhu and Iwata Ozaki and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and Sensors and Actuators B Chemical.

In The Last Decade

Gang Ma

32 papers receiving 629 citations

Hit Papers

Insights into flavor and key influencing factors of Maill... 2022 2026 2023 2024 2022 40 80 120

Peers

Gang Ma
Comparison fields: 5 of 111
  • Molecular Biology 152
  • Pulmonary and Respiratory Medicine 109
  • Surgery 96
  • Epidemiology 87
  • Immunology 83
Replace Talita Rojas Sanches with:
Talita Rojas Sanches Brazil
Hui Yang China
Thomas Fleming Germany
Seung Yong Park South Korea
Mari Kawai Japan
Yiheng Wang China
Tzu‐Chin Wu Taiwan
Paulo José Basso Brazil
Jiunn‐Min Shieh Taiwan
Talita Rojas Sanches Brazil View profile →
Citations per field, relative to Gang Ma
Gang Ma · 1×
Citations per year, relative to Gang Ma
Gang Ma · 1×

Countries citing papers authored by Gang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ma. A scholar is included among the top collaborators of Gang Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ma. Gang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2
Insights into flavor and key influencing factors of Maillard reaction products: A recent update breakdown →
138
3 0
4 17
5 4
6 3
7 3
8 2
9 7
10 17
11 37
12 7
13 34
14 20
15 84
16 9
17 30
18 14
19 36
20
[Expression of programmed cell death 4 and its clinicopathological significance in human pancreatic cancer].
22

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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