Julia Ast

1.3k citations
28 papers · 920 · h-index 16

Impact in

Papers in

Julia Ast

26 papers receiving 904 citations

Peers

Julia Ast
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 187
  • Endocrine and Autonomic Systems 66
  • Molecular Biology 567
  • Biophysics 26
  • Cellular and Molecular Neuroscience 73
Replace Kozo Hirokawa with:
Kozo Hirokawa Japan
Lily I. Jiang United States
Bianca Hoffmann Germany
Shoichiro Horita Japan
Sebastian Boland United States
Ankita Srivastava India
Shuo Han China
Elita Yuliantie Australia
Anaies Nazarians-Armavil Canada
Eddie Maes Belgium
Julia Ast relative to Kozo Hirokawa Japan Kozo Hirokawa's profile →
Citations per field
00.5×10×20×30×37.8×
Kozo Hirokawa · 1×
Citations per year

Countries citing papers authored by Julia Ast

Since Specialization
Citations

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

Fields of papers citing papers by Julia Ast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 2020110
3 201498
4 202279
5 201355
6 202355
7 201348
8 202036
9 201436
10 202132
11 201430
12 202228
13 201827
14 202325
15 201723
16 202220
17 202216
18 202111
19 20149
20 20229

About Julia Ast

Julia Ast is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Endocrine and Autonomic Systems and Cell Biology, having authored 28 papers that have together received 920 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Receptor Mechanisms and Signaling (7 papers), Diabetes Treatment and Management (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Fungal and yeast genetics research (4 papers), RNA modifications and cancer (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Photochromic and Fluorescence Chemistry (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Endocrine and Autonomic Systems (66 citations), Molecular Biology (567 citations), Biophysics (26 citations) and Cellular and Molecular Neuroscience (73 citations). Julia Ast has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Johannes Freitag, Michael Bölker, David J. Hodson, Johannes Broichhagen, Kay Oliver Schink, Björn Sandrock, Ben J. Jones, Jörg Kämper, Kai Heimel and Martin Lehmann. Their work appears in journals such as Nature Communications, Molecular Metabolism, JCI Insight, Chemical Science and Nature Metabolism.

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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