Katja Weckmann

7 papers receiving 538 citations

Katja Weckmann's Hit Papers

SARS-CoV-2-mediated dysregulation of metabolism and autophagy uncovers host-targeting antivirals 2021 · 227 citations
2270+1+3Years since publication50100150200

Peers

Katja Weckmann
Comparison fields: 5 of 84
  • Biological Psychiatry 113
  • Behavioral Neuroscience 46
  • Physiology 40
  • Infectious Diseases 91
  • Pharmacology 73
Replace Andreas Zellner with:
Andreas Zellner Germany
Thomas Bajaj Germany
Anne Gulbins Germany
Sujeong Hong South Korea
Anthony J. Carlos United States
Massimo Barbierato Italy
Xiaohong Li China
Ana Borrajo Spain
Bryan Knipe United States
Hung‐Wei Kan Taiwan
Katja Weckmann relative to Andreas Zellner Germany Andreas Zellner's profile →
Citations per field
00.5×1.5×
Andreas Zellner · 1×
Citations per year

Countries citing papers authored by Katja Weckmann

Since Specialization
Citations

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

Fields of papers citing papers by Katja Weckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Katja Weckmann, 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 Katja Weckmann Line = papers co-authored together Katja Weckmann links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
SARS-CoV-2-mediated dysregulation of metabolism and autophagy uncovers host-targeting antivirals
Hit paper breakdown →
2021227
2 202199
3 201773
4 202048
5 201446
6 201827
7 201823

About Katja Weckmann

Katja Weckmann is a scholar working on Biological Psychiatry, Pharmacology, Cell Biology, Epidemiology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 543 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Tryptophan and brain disorders (3 papers), Treatment of Major Depression (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Diet and metabolism studies (2 papers), Mitochondrial Function and Pathology (1 paper), Pancreatic function and diabetes (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Biological Psychiatry (113 citations), Behavioral Neuroscience (46 citations), Physiology (40 citations), Infectious Diseases (91 citations) and Pharmacology (73 citations). Katja Weckmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include John M. Asara, Christoph W. Turck, Marianne B. Mueller, Christiana Labermaier, Parvana Hajieva, Christian Behl, Michael J. Deery, Michaela D. Filiou, Kathryn Susan Lilley and Giuseppina Maccarrone. Their work appears in journals such as Nature Communications, Scientific Reports, Cells, Translational Psychiatry and PubMed.

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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