Ben Yang

2.6k citations
60 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

Ben Yang

55 papers receiving 1.7k citations

Ben Yang's Hit Papers

Disruption of mitochondrial complex I induces progressive parkinsonism 2021 · 332 citations
3320+1+3Years since publication100200300

Peers

Ben Yang
Comparison fields: 5 of 121
  • Neurology 396
  • Cellular and Molecular Neuroscience 426
  • Neurology 132
  • Aquatic Science 111
  • Geriatrics and Gerontology 57
Replace Ana Cristina Calvo with:
Ana Cristina Calvo Spain
Sebastian Grönke Germany
Corinne Vacher United Kingdom
Wenbo Yu China
Marta Biagioli Italy
Jake Jacobson United Kingdom
Enrico Schmidt Germany
Tim Pearson United Kingdom
Serena Carra Italy
Ben Yang relative to Ana Cristina Calvo Spain Ana Cristina Calvo's profile →
Citations per field
00.5×9.5×
Ana Cristina Calvo · 1×
Citations per year

Countries citing papers authored by Ben Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ben Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Disruption of mitochondrial complex I induces progressive parkinsonism
Hit paper breakdown →
2021332
2 2016165
3 2014123
4 2018103
5 202196
6 201680
7 201173
8 200951
9 202146
10 202145
11 202245
12 201537
13 201335
14 201533
15 202333
16 201930
17 202027
18 202127
19 202027
20 202125

About Ben Yang

Ben Yang is a scholar working on Molecular Biology, Global and Planetary Change, Immunology, Aquatic Science and Endocrinology, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (16 papers), Aquaculture disease management and microbiota (11 papers), Aquaculture Nutrition and Growth (9 papers), Vibrio bacteria research studies (8 papers), Neuroscience and Neuropharmacology Research (6 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Neurology (396 citations), Cellular and Molecular Neuroscience (426 citations), Neurology (132 citations), Aquatic Science (111 citations) and Geriatrics and Gerontology (57 citations). Ben Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include D. James Surmeier, Ema Ilijić, Paul T. Schumacker, Enrico Zampese, Shikai Liu, David L. Wokosin, Jaime N. Guzmán, Qi Li, Jyothisri Kondapalli and Mihaela Stavarache. Their work appears in journals such as Aquaculture, Nature Neuroscience, Marine Biotechnology, Biochemical and Biophysical Research Communications and Journal of Clinical Investigation.

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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