Lin Miao

462 citations
19 papers · 339 · h-index 11

Impact in

Papers in

Lin Miao

18 papers receiving 332 citations

Peers

Lin Miao
Comparison fields: 5 of 81
  • Physiology 42
  • Sensory Systems 26
  • Insect Science 49
  • Cellular and Molecular Neuroscience 51
  • Biophysics 15
Replace E. Lohrmann with:
E. Lohrmann Germany
А.М. Рубцов Russia
Kang Ren China
Gerardo A. De Blas Argentina
Roberta Costa Brazil
Christine M.B. O'Toole United States
Nir Etkovitz Israel
Wolf-Michael Weber Germany
V. Magnelli Italy
Gisela Machado-Oliveira United Kingdom
Lin Miao relative to E. Lohrmann Germany E. Lohrmann's profile →
Citations per field
00.5×10×20×26×
E. Lohrmann · 1×
Citations per year

Countries citing papers authored by Lin Miao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201250
2 201543
3 200939
4 201839
5 201335
6 201027
7 201216
8 201713
9 201612
10 200911
11 201211
12 20189
13 20108
14 20157
15 20127
16
[Relationship between the symptom of xerostomia and non-stimulated salivary flow rates in patients with burning mouth syndrome].
20016
17 20164
18 20142
19 20240

About Lin Miao

Lin Miao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Surgery and Ecology, having authored 19 papers that have together received 339 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Neurobiology and Insect Physiology Research (3 papers), Physiological and biochemical adaptations (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Cellular transport and secretion (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Physiology (42 citations), Sensory Systems (26 citations), Insect Science (49 citations), Cellular and Molecular Neuroscience (51 citations) and Biophysics (15 citations). Lin Miao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guangju Ji, Qilian Qin, Qian Meng, Jihong Zhang, Xuan Li, Rui‐Xing Yin, Yingxiao Chen, Dong‐Feng Wu, Lynn Htet Htet Aung and Wanying Liu. Their work appears in journals such as Journal of Insect Physiology, Protein & Cell, Biochemical and Biophysical Research Communications, Insect Molecular Biology and Archives of Biochemistry and Biophysics.

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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