Frances Kern

829 citations
20 papers · 694 indexed · h-index 15

Impact in

Papers in

Frances Kern

20 papers receiving 677 citations

Peers

Frances Kern
Comparison fields: 5 of 76
  • Immunology and Allergy 129
  • Developmental Neuroscience 56
  • Cell Biology 172
  • Cancer Research 105
  • Molecular Biology 371
Replace Dominique Sauvaget with:
Dominique Sauvaget France
Charles Szekeres United States
Thorsten Bangsow Germany
William Jin United States
Yoshiki Saitoh Japan
Mitsuru Horiba Japan
Brunella Cristofaro United Kingdom
Toshio Watanabe Japan
M M Thompson United States
Pim Visser Netherlands
Frances Kern relative to Dominique Sauvaget France Dominique Sauvaget's profile →
Citations per field
00.5×1.5×
Dominique Sauvaget · 1×
Citations per year

Countries citing papers authored by Frances Kern

Since Specialization
Citations

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

Fields of papers citing papers by Frances Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201615
2 200913
3 200637
4 2004116
5 200022
6 199924
7 199834
8 199824
9 19955
10 199532
11 199411
12 19938
13 199315
14 199338
15 199332
16 199224
17
Expression of tenascin by vascular smooth muscle cells. Alterations in hypertensive rats and stimulation by angiotensin II.
1992114
18 19911
19 199181
20
Autocrine growth stimulation by secreted Kaposi fibroblast growth factor but not by endogenous basic fibroblast growth factor.
199048

About Frances Kern

Frances Kern is a scholar working on Immunology and Allergy, Developmental Neuroscience, Cancer Research, Cellular and Molecular Neuroscience and Molecular Biology, having authored 20 papers that have together received 694 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Protease and Inhibitor Mechanisms (3 papers), RNA Research and Splicing (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Fibroblast Growth Factor Research (2 papers), Nerve injury and regeneration (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Immunology and Allergy (129 citations), Developmental Neuroscience (56 citations), Cell Biology (172 citations), Cancer Research (105 citations) and Molecular Biology (371 citations). Frances Kern has collaborated with scholars based in Switzerland, Russia and United States. Frequent co-authors include Thérèse J. Resink, Alfred W.A. Hahn, Fritz R. Bühler, Stephan Regenass, Beat Erne, Nicole Schaeren‐Wiemers, Gerhard Zugmaier, Anton Wellstein, Alfred Hahn and M. E. Lippman. Their work appears in journals such as Journal of Vascular Research, Biochemical and Biophysical Research Communications, Journal of Cardiovascular Pharmacology, FEBS Letters and The Journal of Cell Biology.

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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