Arthur Kmit

534 citations
13 papers · 436 · h-index 10

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Erythrocyte Function and Pathophysiology
    • Asthma and respiratory diseases

Papers in

Arthur Kmit

13 papers receiving 429 citations

Peers

Arthur Kmit
Comparison fields: 5 of 69
  • Physiology 42
  • Sensory Systems 27
  • Pulmonary and Respiratory Medicine 159
  • Cellular and Molecular Neuroscience 61
  • Molecular Biology 203
Replace Loren M. Brown with:
Loren M. Brown United States
Weiping Qiu United States
Michael F. Ethier United States
Thomas A. Fey United States
Thomas Hochdörfer Germany
Honglin Tian United States
Takeshi Imao Japan
Claudie Gabillard-Lefort France
Martin Krenn Austria
Yinchuan Li China
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Citations per field
00.5×4.4×
Loren M. Brown · 1×
Citations per year

Countries citing papers authored by Arthur Kmit

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Kmit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2015128
2 201358
3 201156
4 201252
5 201530
6 201929
7 201625
8 201924
9 202111
10 201610
11 20229
12 20232
13 20222

About Arthur Kmit

Arthur Kmit is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 13 papers that have together received 436 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (9 papers), Neonatal Respiratory Health Research (5 papers), Ion channel regulation and function (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Asthma and respiratory diseases (2 papers), Genomics and Rare Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Tracheal and airway disorders (2 papers). The work is most often cited by research in Physiology (42 citations), Sensory Systems (27 citations), Pulmonary and Respiratory Medicine (159 citations), Cellular and Molecular Neuroscience (61 citations) and Molecular Biology (203 citations). Arthur Kmit has collaborated with scholars based in Portugal, Brazil and Germany. Frequent co-authors include Jiraporn Ousingsawat, Rainer Schreiber, Margarida D. Amaral, Podchanart Wanitchakool, Karl Kunzelmann, Karl Kunzelmann, Fernando Augusto Lima Marson, José Dirceu Ribeiro, Antônio de Azevedo Barros Filho and Yuemin Tian. Their work appears in journals such as Gene, RSC Advances, Cell Death and Disease, Nature Communications and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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