K Welt

35 papers receiving 763 citations

Peers

K Welt
Comparison fields: 5 of 94
  • Neurology 169
  • Complementary and alternative medicine 153
  • Cell Biology 236
  • Cellular and Molecular Neuroscience 213
  • Developmental Neuroscience 36
Replace Celina Zerbinatti with:
Celina Zerbinatti United States
Anthony DelleDonne United States
Agata Góźdź Poland
Shun Yu China
João R. Gomes Portugal
Amitabha Sengupta India
Andrea Carmine Belin Sweden
Xinchun Jin China
Joshua M. Bradner United States
Kateřina Venderová United States
K Welt relative to Celina Zerbinatti United States Celina Zerbinatti's profile →
Citations per field
00.5×7.0×
Celina Zerbinatti · 1×
Citations per year

Countries citing papers authored by K Welt

Since Specialization
Citations

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

Fields of papers citing papers by K Welt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999283
2 199693
3 200648
4 200236
5 200430
6 199927
7 200120
8 199920
9 200920
10 199518
11 199618
12 199716
13 199916
14 200814
15 201012
16 199612
17 200011
18 200910
19 200010
20 201110

About K Welt

K Welt is a scholar working on Complementary and alternative medicine, Neurology, Molecular Biology, Cell Biology and Physiology, having authored 35 papers that have together received 784 indexed citations. Recurring topics across this work include Ginkgo biloba and Cashew Applications (15 papers), Neurological Disease Mechanisms and Treatments (12 papers), Mitochondrial Function and Pathology (5 papers), Advanced MRI Techniques and Applications (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Metabolism and Genetic Disorders (3 papers) and Advanced Glycation End Products research (3 papers). The work is most often cited by research in Neurology (169 citations), Complementary and alternative medicine (153 citations), Cell Biology (236 citations), Cellular and Molecular Neuroscience (213 citations) and Developmental Neuroscience (36 citations). K Welt has collaborated with scholars based in Germany, Romania and Japan. Frequent co-authors include K Brauer, G. Fitzl, Gert Brückner, Amin Derouiche, Michael Mäder, Jens Grosche, Wolfgang Härtig, Andreas Reichenbach, Ricardo I. Pérez‐Martín and L Schaffranietz. Their work appears in journals such as Experimental and Toxicologic Pathology, Acta Histochemica, Aging Clinical and Experimental Research, Phytomedicine and Journal of Neurocytology.

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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