Johan Pahlberg

673 citations
24 papers · 487 indexed · h-index 15

Johan Pahlberg

24 papers receiving 483 citations

Peers

Johan Pahlberg
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 346
  • Endocrine and Autonomic Systems 50
  • Molecular Biology 357
  • Sensory Systems 24
  • Ophthalmology 41
Replace Take Matsuyama with:
Take Matsuyama Japan
Ari Koskelainen Finland
Y. Shichida Japan
Julie L. Coombs United States
Jeffry I. Fasick United States
Kiara C. Eldred United States
Dong-Gen Luo United States
Richard L. Chappell United States
Sergei L. Kondrashev Russia
Petri Ala‐Laurila Finland
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Citations per field
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Citations per year

Countries citing papers authored by Johan Pahlberg

Since Specialization
Citations

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

Fields of papers citing papers by Johan Pahlberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20221
3 202214
4
A K42E knockin mouse model of RP59 exhibits a negative ERG and defective postsynaptic signal transmission
20211
5
Transducin Translocation And The Role Of Frmpd1 And Gpsm2 In Rod To Rod Bipolar Cell Synaptic Transmission.
20202
6 201922
7 20182
8 201819
9 201723
10 201527
11 201335
12 201332
13 201335
14 201210
15 201132
16 200512
17 200533
18 200518
19 200436
20
The photoactivation energy of the visual pigment in two populations of Mysis relicta (Mysidacea, Crustacea) determined from temperature effects on spectral sensitivity
20041

About Johan Pahlberg

Johan Pahlberg is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Endocrine and Autonomic Systems, having authored 24 papers that have together received 487 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (17 papers), Retinal Development and Disorders (16 papers), Receptor Mechanisms and Signaling (5 papers), Neurobiology and Insect Physiology Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (2 papers), Circadian rhythm and melatonin (2 papers) and Photochromic and Fluorescence Chemistry (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (346 citations), Endocrine and Autonomic Systems (50 citations) and Molecular Biology (357 citations). Johan Pahlberg has collaborated with scholars based in United States, Finland and Russia. Frequent co-authors include Alapakkam P. Sampath, Kristian Donner, Kirill A. Martemyanov, Ignacio Sarria, Yan Cao, Naomi Kamasawa, Ari Koskelainen, Petri Ala‐Laurila, Magnus Lindström and Anurima Majumder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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