William Même

1.5k citations
36 papers · 1.3k · h-index 19

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Connexins and lens biology
    • Muscle Physiology and Disorders

Papers in

    • Connexins and lens biology 8
    • Ion channel regulation and function 5
    • Muscle Physiology and Disorders 4
    • Adenosine and Purinergic Signaling 2

William Même

35 papers receiving 1.3k citations

Peers

William Même
Comparison fields: 5 of 94
  • Neurology 146
  • Molecular Biology 491
  • Developmental Neuroscience 23
  • Cellular and Molecular Neuroscience 78
  • Physiology 19
Replace Qianqian Li with:
Qianqian Li China
Vikrant Singh United States
Nicoletta Plotegher Italy
Bernadette O. Erokwu United States
E. Scott Graham New Zealand
Jane Kovalevich United States
Carol Milligan United States
Haifei Xu China
Shintaro Nishimura Japan
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Citations per year

Countries citing papers authored by William Même

Since Specialization
Citations

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

Fields of papers citing papers by William Même

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Même, 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 William Même Line = papers co-authored together William Même 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 2002292
2 2006181
3 200676
4 200662
5 202062
6 201758
7 200454
8 200846
9 200943
10 201442
11 202139
12 201837
13 201835
14 199833
15 200830
16 200923
17 201422
18 201921
19 201920
20 201917

About William Même

William Même is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Connexins and lens biology (8 papers), Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Lanthanide and Transition Metal Complexes (4 papers), Muscle Physiology and Disorders (4 papers), Pesticide Exposure and Toxicity (2 papers), Adenosine and Purinergic Signaling (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Neurology (146 citations), Molecular Biology (491 citations), Developmental Neuroscience (23 citations), Cellular and Molecular Neuroscience (78 citations) and Physiology (19 citations). William Même has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christian Giaume, Annette Koulakoff, Laurent Venance, Nathalie Rouach, Pascal Ezan, Sandra Même, Elena Avignone, Fredrik Blomstrand, Charles‐Félix Calvo and Edwige Amigou. Their work appears in journals such as Neuroscience, ACS Chemical Neuroscience, Biology of the Cell, Acta Physiologica and American Journal of Physiology-Cell Physiology.

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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