Ann-Katrin Hopp

1.2k citations
20 papers · 807 · 1 hit paper · h-index 12

Impact in

Papers in

    • PARP inhibition in cancer therapy 9
    • DNA Repair Mechanisms 2
    • Ubiquitin and proteasome pathways 1

Ann-Katrin Hopp

20 papers receiving 789 citations

Ann-Katrin Hopp's Hit Papers

A Bacterial Effector Reveals the V-ATPase-ATG16L1 Axis that Initiates Xenophagy 2019 · 284 citations
2840+2+4Years since publication50100150200250

Peers

Ann-Katrin Hopp
Comparison fields: 5 of 89
  • Physiology 108
  • Geriatrics and Gerontology 58
  • Immunology 208
  • Endocrinology 48
  • Clinical Biochemistry 46
Replace N.M. Maurice with:
N.M. Maurice United States
Katarzyna Kołodziejska Poland
Donna Sir United States
Zhenggang Yang China
E Xiaofei United States
Francesca Demarchi Italy
Chaaya Iyengar Raje India
Thomas Holowka United States
Joshua L. Andersen United States
Maïka S. Deffieu France
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Citations per field
00.5×2×4×5.2×
N.M. Maurice · 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-authors

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

All Works

20 of 20 papers shown
#Work
1
A Bacterial Effector Reveals the V-ATPase-ATG16L1 Axis that Initiates Xenophagy
Hit paper breakdown →
2019284
2 201979
3 198071
4 201858
5 201756
6 202147
7 198445
8 201444
9 201924
10 202124
11 202321
12 202318
13 19799
14 20169
15 20245
16 20184
17 20213
18 20213
19 20252
20 20181

About Ann-Katrin Hopp

Ann-Katrin Hopp is a scholar working on Oncology, Molecular Biology, Physiology, Immunology and Geriatrics and Gerontology, having authored 20 papers that have together received 807 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (9 papers), Calcium signaling and nucleotide metabolism (5 papers), Sirtuins and Resveratrol in Medicine (3 papers), DNA Repair Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), Autophagy in Disease and Therapy (2 papers), Click Chemistry and Applications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Physiology (108 citations), Geriatrics and Gerontology (58 citations), Immunology (208 citations), Endocrinology (48 citations) and Clinical Biochemistry (46 citations). Ann-Katrin Hopp has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michael O. Hottiger, Kathrin Nowak, Yue Xu, Lin Li, Da Li, Feng Shao, Sen Cheng, Xiaoyun Liu, E. R. Huehns and Corinne Fisher. Their work appears in journals such as Cells, Nature Communications, The Journal of Immunology, Journal of Clinical Pathology and Life Science Alliance.

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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