Erming Wang

33 papers receiving 1.3k citations

Erming Wang's Hit Papers

Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets 2021 · 192 citations
1920+1+3Years since publication50100150

Peers

Erming Wang
Comparison fields: 5 of 66
  • Physiology 380
  • Developmental Neuroscience 43
  • Molecular Biology 587
  • Psychiatry and Mental health 140
  • Neurology 54
Replace Jon M. Reed with:
Jon M. Reed United States
Vivian R. Jaber United States
Jorge Parodí Chile
Peter N. Alexandrov United States
Fengming Wu China
Changqing Xu United States
Yi‐Chen Hsieh United States
Vincenzina Nicolia Italy
Xinxing Yu United States
Zuolei Xie China
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Citations per year

Countries citing papers authored by Erming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Erming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001195
2
Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets
Hit paper breakdown →
2021192
3 2020133
4 200384
5 200275
6 201870
7 200765
8 201646
9 201143
10 201743
11 201240
12 200439
13 200936
14 200826
15 201724
16 202423
17 202120
18 200519
19 202318
20 202518

About Erming Wang

Erming Wang is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Developmental Neuroscience and Biotechnology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (19 papers), RNA Research and Splicing (6 papers), Dementia and Cognitive Impairment Research (5 papers), Plant biochemistry and biosynthesis (3 papers), Wheat and Barley Genetics and Pathology (3 papers), Insect-Plant Interactions and Control (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Physiology (380 citations), Developmental Neuroscience (43 citations), Molecular Biology (587 citations), Psychiatry and Mental health (140 citations) and Neurology (54 citations). Erming Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include George J. Wagner, Franca Cambi, John H. Loughrin, Neviana Dimova, Susheng Gan, Haihao Zhu, Wei Qiao (Wendy) Qiu, Bin Zhang, Neil W. Kowall and Minghui Wang. Their work appears in journals such as Alzheimer s & Dementia, Journal of Biological Chemistry, Journal of Alzheimer s Disease, Cell and Journal of Experimental Botany.

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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