Ann-Katrin Hopp

1.1k citations
20 papers · 757 indexed · 1 hit paper · h-index 12
Topics
PARP inhibition in cancer therapy (9 papers)Calcium signaling and nucleotide metabolism (5 papers)Sirtuins and Resveratrol in Medicine (3 papers)

In The Last Decade

Ann-Katrin Hopp

20 papers receiving 742 citations

Hit Papers

A Bacterial Effector Reveals the V-ATPase-ATG16L1 Axis th...2019202620212023201950100150200250

Peers

Ann-Katrin Hopp
Comparison fields: 5 of 88
  • Molecular Biology 272
  • Immunology 204
  • Epidemiology 188
  • Oncology 159
  • Physiology 107
Replace Daniel Grasso with:
Daniel Grasso Argentina
Michelle Hartman United States
N.M. Maurice United States
Francesca Demarchi Italy
E Xiaofei United States
Thomas Holowka United States
Xiaojie Yan China
Joshua L. Andersen United States
Pa Wu China
Zilin Li China
Ann-Katrin Hopp relative to Daniel Grasso Argentina Daniel Grasso's profile →
Citations per field
00.5×1.6×
Daniel Grasso · 1×
Citations per year

Countries citing papers authored by Ann-Katrin Hopp

Since Specialization
Citations

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

Fields of papers citing papers by Ann-Katrin Hopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann-Katrin Hopp. 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 Ann-Katrin Hopp. The network helps show where Ann-Katrin Hopp may publish in the future.

Co-authorship network of co-authors of Ann-Katrin Hopp

This figure shows the co-authorship network connecting the top 25 collaborators of Ann-Katrin Hopp. A scholar is included among the top collaborators of Ann-Katrin Hopp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ann-Katrin Hopp. Ann-Katrin Hopp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 19
4 16
5 45
6 2
7 3
8 23
9 24
10 75
11
A Bacterial Effector Reveals the V-ATPase-ATG16L1 Axis that Initiates Xenophagybreakdown →
265
12 1
13 4
14 55
15 51
16 9
17 41
18 44
19 68
20 8

About Ann-Katrin Hopp

Ann-Katrin Hopp is a scholar working on Physiology, Geriatrics and Gerontology and Oncology, having authored 20 papers that have together received 757 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (9 papers), Calcium signaling and nucleotide metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (3 papers). The work is most often cited by research in Physiology (107 citations), Geriatrics and Gerontology (57 citations) and Immunology (204 citations). Ann-Katrin Hopp has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Michael O. Hottiger, Kathrin Nowak, Qiuhe Lu, Feng Shao, Wenqing Gao, B. A. McVerry, Xuyan Shi, Xiaoyun Liu, Da Li and Ping‐Kun Zhou. Their work appears in journals such as Cell, The Lancet and Nucleic Acids Research.

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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