K. Stock

80 papers receiving 2.2k citations

Peers

K. Stock
Comparison fields: 5 of 115
  • Internal Medicine 73
  • Physiology 104
  • Rheumatology 297
  • Neurology 274
  • Radiology, Nuclear Medicine and Imaging 312
Replace Thomas Deufel with:
Thomas Deufel Germany
Motoomi Nakamura Japan
István Édes Hungary
Ursula Scheffel United States
Henry M. Bartkowski United States
Masafumi Nakayama Japan
Yeshayahu Katz Israel
Daniel Nyhan United States
J. Holtz Germany
Yukio Kimura Japan
K. Stock relative to Thomas Deufel Germany Thomas Deufel's profile →
Citations per field
00.5×8.4×
Thomas Deufel · 1×
Citations per year

Countries citing papers authored by K. Stock

Since Specialization
Citations

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

Fields of papers citing papers by K. Stock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001440
2 1999114
3
Cerebral veins: comparative study of CT venography with intraarterial digital subtraction angiography.
1999110
4 199590
5 197585
6
Anatomic evaluation of the circle of Willis: MR angiography versus intraarterial digital subtraction angiography.
199678
7 199977
8 196373
9 199864
10 196456
11 200154
12 196453
13 197748
14 196647
15 199944
16 196744
17 200043
18 197441
19
Acute disseminated encephalomyelitis: MR and CT features.
199640
20 199937

About K. Stock

K. Stock is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Adipose Tissue and Metabolism (8 papers), Atomic and Subatomic Physics Research (8 papers), Phosphodiesterase function and regulation (7 papers), Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Advanced NMR Techniques and Applications (5 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). The work is most often cited by research in Internal Medicine (73 citations), Physiology (104 citations), Rheumatology (297 citations), Neurology (274 citations) and Radiology, Nuclear Medicine and Imaging (312 citations). K. Stock has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include E. Westermann, Hiroto Hatabu, Peter Holtz, Diego Jaramillo, Robert D. Boutin, John H. Velyvis, Martha L. Gray, Deborah Burstein, Young-Jo Kim and V. Dinnendahl. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Life Sciences, European Journal of Radiology, Neuroradiology and Journal of Magnetic Resonance Imaging.

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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