Tanja Scherer

565 citations
15 papers · 411 · h-index 11

Impact in

Papers in

    • Mitochondrial Function and Pathology 7
    • RNA Interference and Gene Delivery 3
    • Peroxisome Proliferator-Activated Receptors 2
    • CRISPR and Genetic Engineering 2
    • Metabolism and Genetic Disorders 11

Tanja Scherer

15 papers receiving 407 citations

Peers

Tanja Scherer
Comparison fields: 5 of 64
  • Clinical Biochemistry 199
  • Biological Psychiatry 21
  • Biochemistry 53
  • Molecular Biology 274
  • Physiology 94
Replace Vasily A. Aleshin with:
Vasily A. Aleshin Russia
Viruna Neergheen United Kingdom
Anna W.M. Zomer Netherlands
Gail A. M. Breen United States
Véronique Rüfenacht Switzerland
Lydia J. Davis United States
Claudine David France
Eugenio Grau Spain
Rooban B. Nahomi United States
Masanori Itakura Japan
Tanja Scherer relative to Vasily A. Aleshin Russia Vasily A. Aleshin's profile →
Citations per field
00.5×1.5×2.2×
Vasily A. Aleshin · 1×
Citations per year

Countries citing papers authored by Tanja Scherer

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008136
2 200849
3 201740
4 201032
5 201527
6 201526
7 201921
8 202119
9 201719
10 201212
11 201810
12 20197
13 20227
14 20224
15 20222

About Tanja Scherer

Tanja Scherer is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Biochemistry and Genetics, having authored 15 papers that have together received 411 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Mitochondrial Function and Pathology (7 papers), Diet and metabolism studies (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Clinical Biochemistry (199 citations), Biological Psychiatry (21 citations), Biochemistry (53 citations), Molecular Biology (274 citations) and Physiology (94 citations). Tanja Scherer has collaborated with scholars based in Switzerland, Norway and United States. Frequent co-authors include Beat Thöny, Aurora Martı́nez, Ming Ying, Ángel L. Pey, Javier Sancho, Adrián Velázquez‐Campoy, Nunilo Cremades, Cary O. Harding, Shelley R. Winn and Ana Cristina Calvo. Their work appears in journals such as Molecular Genetics and Metabolism, Human Mutation, Journal of Inherited Metabolic Disease, Molecular Therapy — Methods & Clinical Development and Journal of Neurochemistry.

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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