Uta Lichter‐Konecki
Impact in
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders
- Rheumatology top 2%
- Folate and B Vitamins Research
Papers in
-
- Metabolism and Genetic Disorders 39
-
- Amino Acid Enzymes and Metabolism 9
- Co-authors
- David KoneckiSavio L.C. WooFriedrich K. TrefzRandy C. EisensmithChristine BrownJerry VockleyMagdalena SchlotterAlexei A. Goltsov
- Journals
- Human Genetics (7 papers)Molecular Genetics and Metabolism (4 papers)Journal of Inherited Metabolic Disease (3 papers)The Journal of Pediatrics (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Uta Lichter‐Konecki
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Clinical Biochemistry 969
- Rheumatology 388
- Biochemistry 179
- Molecular Biology 774
- Physiology 260
Countries citing papers authored by Uta Lichter‐Konecki
This map shows the geographic impact of Uta Lichter‐Konecki'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 Uta Lichter‐Konecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Lichter‐Konecki more than expected).
Fields of papers citing papers by Uta Lichter‐Konecki
This network shows the impact of papers produced by Uta Lichter‐Konecki. 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 Uta Lichter‐Konecki. The network helps show where Uta Lichter‐Konecki may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta Lichter‐Konecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 14 | |
| 7 | 2018 | 8 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 83 | |
| 10 | 2014 | 22 | |
| 11 | 2010 | 25 | |
| 12 | 2000 | 0 | |
| 13 | 1999 | 23 | |
| 14 | 1997 | 1 | |
| 15 | 1993 | 33 | |
| 16 | 1992 | 45 | |
| 17 | 1991 | 206 | |
| 18 | 1991 | 16 | |
| 19 | 1990 | 11 | |
| 20 | 1987 | 5 |
About Uta Lichter‐Konecki
Uta Lichter‐Konecki is a scholar working on Clinical Biochemistry, Biochemistry, Rheumatology, Cell Biology and Genetics, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (39 papers), Folate and B Vitamins Research (16 papers), Biochemical and Molecular Research (12 papers), Amino Acid Enzymes and Metabolism (9 papers), Diet and metabolism studies (6 papers), Muscle metabolism and nutrition (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Clinical Biochemistry (969 citations), Rheumatology (388 citations), Biochemistry (179 citations), Molecular Biology (774 citations) and Physiology (260 citations). Uta Lichter‐Konecki has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David Konecki, Savio L.C. Woo, Friedrich K. Trefz, Randy C. Eisensmith, Christine Brown, Jerry Vockley, Magdalena Schlotter, Alexei A. Goltsov, Yoshiyuki Okano and Karen Friis Henriksen. Their work appears in journals such as Human Genetics, Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, The Journal of Pediatrics and Biochemistry.
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.