Eva Jerning

1.2k citations
16 papers · 928 · h-index 10

Impact in

Papers in

    • Receptor Mechanisms and Signaling 7
    • Pharmacological Receptor Mechanisms and Effects 3
    • Neurotransmitter Receptor Influence on Behavior 6
    • Neuroscience and Neuropharmacology Research 5
    • Neuropeptides and Animal Physiology 4

Eva Jerning

16 papers receiving 904 citations

Peers

Eva Jerning
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 325
  • Pharmacology 130
  • Molecular Biology 535
  • Biological Psychiatry 16
  • Physiology 144
Replace Victor I. Ilyin with:
Victor I. Ilyin United States
Ann‐Cathrin Radesäter Sweden
María F. Cano‐Abad Spain
Philippe Morain France
Rachel Haring Israel
Joanne R. Mathiasen United States
Tiffany Runyan Garrison United States
Bernard Levet‐Trafit Switzerland
Kathy L. Kohlhaas United States
Alison Easter United Kingdom
Eva Jerning relative to Victor I. Ilyin United States Victor I. Ilyin's profile →
Citations per field
00.5×1.7×
Victor I. Ilyin · 1×
Citations per year

Countries citing papers authored by Eva Jerning

Since Specialization
Citations

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

Fields of papers citing papers by Eva Jerning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003466
2 2012124
3 1997107
4 198692
5 199626
6 199926
7 199824
8 200017
9 199815
10 20019
11 20027
12 19955
13 20164
14 19974
15 19811
16 19981

About Eva Jerning

Eva Jerning is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Social Psychology and Computational Theory and Mathematics, having authored 16 papers that have together received 928 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Neuroendocrine regulation and behavior (2 papers), Computational Drug Discovery Methods (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (325 citations), Pharmacology (130 citations), Molecular Biology (535 citations), Biological Psychiatry (16 citations) and Physiology (144 citations). Eva Jerning has collaborated with scholars based in Sweden, Spain and United Kingdom. Frequent co-authors include Yafeng Xue, Mats Ormö, Stefan von Berg, Yvonne Nilsson, Ratan V. Bhat, Sven Hellberg, Nina Mohell, Håkan Hall, Félix Hernández and Javier Díaz‐Nido. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, European Journal of Pharmacology, Current Microbiology and Nuclear Medicine and Biology.

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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