J. Kessler

15 papers receiving 692 citations

Peers

J. Kessler
Comparison fields: 5 of 74
  • Developmental Neuroscience 40
  • Cellular and Molecular Neuroscience 183
  • Molecular Biology 544
  • Endocrine and Autonomic Systems 27
  • Physiology 76
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Mizue Iai Japan
Pasquale Buanne Italy
Francesco Tomassoni‐Ardori United States
Maria Frasson Brazil
Fabiana Louise Motta Brazil
Stéphanie Boutillier France
Margarete M. Karg United States
Marta González-García Spain
Samuele Negro Italy
Masato Fukui Japan
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Citations per field
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Citations per year

Countries citing papers authored by J. Kessler

Since Specialization
Citations

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

Fields of papers citing papers by J. Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1991229
2 1997110
3 199185
4 198774
5 198474
6 199352
7 202133
8
Biomarker variation in patients successfully treated with tocilizumab for severe coronavirus disease 2019 (COVID-19): results of a multidisciplinary collaboration.
202031
9 200024
10 202113
11 20248
12 20004
13
Development of neural progenitor cells encapsulated in a peptide amphiphile substrate that is induced to self assemble under physiological conditions
20023
14
Multiphoton microscopy imaging: The behavior of neural progenitor cells in the rostral migratory stream in intact and ischemic mice
20071
15
Regulation of substance P and somatostatin in sympathetic and sensory neurons
19821
16 20160

About J. Kessler

J. Kessler is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Neurology and Genetics, having authored 16 papers that have together received 742 indexed citations. Recurring topics across this work include Connexins and lens biology (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Neuroscience of respiration and sleep (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Heat shock proteins research (2 papers), Ion channel regulation and function (2 papers), Glioma Diagnosis and Treatment (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Developmental Neuroscience (40 citations), Cellular and Molecular Neuroscience (183 citations), Molecular Biology (544 citations), Endocrine and Autonomic Systems (27 citations) and Physiology (76 citations). J. Kessler has collaborated with scholars based in United States, France and Germany. Frequent co-authors include David Conover Spray, B. Eghbali, Lola McAdams Reid, Christine Le Roy, Rolf Dermietzel, Vivien Wong, Alonso P. Moreno, Michael V. L. Bennett, Juan Carlos Sáez and Hans H. Althaus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Pharmacological Research, Glia, Cell Transplantation and Clinical Rheumatology.

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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