N. Křı́ž

720 citations
24 papers · 635 · h-index 13

Impact in

Papers in

N. Křı́ž

24 papers receiving 558 citations

Peers

N. Křı́ž
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 307
  • Bioengineering 75
  • Equine 19
  • Electrochemistry 52
  • Complementary and alternative medicine 50
Replace E Ujec with:
E Ujec Czechia
Frantisˇek Vyskocˇil Czechia
G. Hofmeier Germany
Roger E. Thies United States
Werner Vogel Germany
Marilyn N. Friedemann United States
J. G. Blackman New Zealand
Martin G. de Vries Netherlands
Lie‐Gan Chia Taiwan
William W. Sleator United States
N. Křı́ž relative to E Ujec Czechia E Ujec's profile →
Citations per field
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E Ujec · 1×
Citations per year

Countries citing papers authored by N. Křı́ž

Since Specialization
Citations

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

Fields of papers citing papers by N. Křı́ž

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside N. Křı́ž, 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 N. Křı́ž Line = papers co-authored together N. Křı́ž links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974145
2 1976114
3 197270
4 197638
5 197532
6
Stimulation-evoked changes in extracellular pH, calcium and potassium activity in the frog spinal cord.
198831
7 200229
8 198129
9 198019
10 198014
11 198014
12 200614
13 198114
14 200013
15 197312
16 198312
17 198811
18 19858
19 19816
20
Changes in 3H-leucine enkephalin binding in spinal cord of frog after dorsal rhizotomy, cordotomy, transcutaneous stimulation and temperature variations: correlation with nociceptive sensitivity.
19853

About N. Křı́ž

N. Křı́ž is a scholar working on Bioengineering, Cellular and Molecular Neuroscience, Physiology, Electrochemistry and Equine, having authored 24 papers that have together received 635 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Pain Mechanisms and Treatments (9 papers), Analytical Chemistry and Sensors (7 papers), Neuroscience and Neural Engineering (5 papers), Electrochemical Analysis and Applications (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Muscle activation and electromyography studies (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (307 citations), Bioengineering (75 citations), Equine (19 citations), Electrochemistry (52 citations) and Complementary and alternative medicine (50 citations). N. Křı́ž has collaborated with scholars based in Czechia, Slovakia and Russia. Frequent co-authors include Eva Syková, E Ujec, F. Vyskočil, Ladislav Vyklický, P Hník, Gábor Czéh, V. Smieško, Marlene A. Holas, I Krekule and Alexandr Chvátal. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, The Journal of Physiology, Physiological Research, Neuroscience and Brain Research.

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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