T. Hedner

34 papers receiving 657 citations

Peers

T. Hedner
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 155
  • Cellular and Molecular Neuroscience 272
  • Behavioral Neuroscience 31
  • Biological Psychiatry 20
  • Physiology 33
Replace Fang‐Jung Wan with:
Fang‐Jung Wan Taiwan
M.K. Shellenberger United States
Dongman Chao United States
Wendy J. Winchester United Kingdom
I J Kopin United States
Ki-Wug Sung South Korea
Russell A. Gazzara United States
Michele Iovino Italy
Michael J. Hudspith United Kingdom
Sergio Solbes Ferri Italy
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Citations per field
00.5×1.5×1.8×
Fang‐Jung Wan · 1×
Citations per year

Countries citing papers authored by T. Hedner

Since Specialization
Citations

This map shows the geographic impact of T. Hedner'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 T. Hedner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hedner more than expected).

Fields of papers citing papers by T. Hedner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198673
2 198543
3 198639
4 197739
5 199633
6 198033
7 197730
8 198429
9 197929
10 199226
11 199825
12 199625
13
Neurochemical characteristics of cerebral catecholamine neurons during the postnatal development in the rat.
198123
14 198323
15 198020
16 197820
17 200519
18 198518
19 199518
20 197917

About T. Hedner

T. Hedner is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Biochemistry, Physiology and Biological Psychiatry, having authored 34 papers that have together received 686 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neuroscience of respiration and sleep (8 papers), Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Biochemical effects in animals (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (155 citations), Cellular and Molecular Neuroscience (272 citations), Behavioral Neuroscience (31 citations), Biological Psychiatry (20 citations) and Physiology (33 citations). T. Hedner has collaborated with scholars based in Sweden, United States and Poland. Frequent co-authors include Per Lundborg, Jan Hedner, J. Engel, T. Mellstrand, Gunnar F. Nordberg, Bertil Persson, Lars Edvinsson, Knut Iversen, Xiang Sun and George R. Breese. Their work appears in journals such as Journal of Neural Transmission, Neonatology, Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics and Journal of Hypertension.

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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