Martina Kočan

2.2k citations
44 papers · 1.7k indexed · 1 hit paper · h-index 24

Martina Kočan

43 papers receiving 1.7k citations

Hit Papers

Relaxin Family Peptides and Their Receptors4052013202620172021100200300400

Peers

Martina Kočan
Comparison fields: 5 of 115
  • Public Health, Environmental and Occupational Health 804
  • Occupational Therapy 73
  • Cellular and Molecular Neuroscience 198
  • Molecular Biology 524
  • Sensory Systems 32
Replace Jia Yin with:
Jia Yin United States
Daniel J. Scott Australia
Daniel W. Drolet United States
Günther Weber Sweden
Liya Wang China
Thomas Schubert Germany
Sandra Rieger United States
Jingyun Li China
Philip Chang United States
Martina Kočan relative to Jia Yin United States Jia Yin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Martina Kočan

Since Specialization
Citations

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

Fields of papers citing papers by Martina Kočan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 20225
4 202116
5 202022
6 202012
7 201910
8 201912
9 201925
10 201811
11
The relaxin receptor as a therapeutic target - perspectives from evolution Cheek for updates and drug targeting
20181
12 201828
13 201753
14 201671
15 201635
16 201329
17 201371
18 201275
19 201126
20 201045

About Martina Kočan

Martina Kočan is a scholar working on Occupational Therapy, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pregnancy-related medical research (23 papers), Receptor Mechanisms and Signaling (10 papers), Occupational Health and Performance (6 papers), Neuropeptides and Animal Physiology (4 papers), GaN-based semiconductor devices and materials (3 papers), Chemical Synthesis and Analysis (2 papers), bioluminescence and chemiluminescence research (2 papers) and Metal and Thin Film Mechanics (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (804 citations), Occupational Therapy (73 citations) and Cellular and Molecular Neuroscience (198 citations). Martina Kočan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ross A. D. Bathgate, Roger J. Summers, Michelle L. Halls, Emma T. van der Westhuizen, Gabrielle E. Callander, Kevin D. G. Pfleger, Mohammed Akhter Hossain, Chrishan S. Samuel, Karin A. Eidne and Heng B. See.

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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