Thomas D. Niehaus
- Biochemistry top 5%
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction 9
- Plant biochemistry and biosynthesis 6
- Metabolomics and Mass Spectrometry Studies 4
- Genomics and Phylogenetic Studies 4
- Mitochondrial Function and Pathology 3
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 6
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- Enzyme Structure and Function 7
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Andrew D. HansonOliver FiehnMona Elbadawi-SidhuValérie de Crécy‐LagardJoe ChappellChristopher S. HenryShigeru OkadaTimothy P. Devarenne
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (6 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Thomas D. Niehaus
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Biochemistry 86
- Molecular Biology 807
- Clinical Biochemistry 75
- Renewable Energy, Sustainability and the Environment 169
- Aging 9
Countries citing papers authored by Thomas D. Niehaus
This map shows the geographic impact of Thomas D. Niehaus'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 Thomas D. Niehaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas D. Niehaus more than expected).
Fields of papers citing papers by Thomas D. Niehaus
This network shows the impact of papers produced by Thomas D. Niehaus. 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 Thomas D. Niehaus. The network helps show where Thomas D. Niehaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas D. Niehaus, 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 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 8 | |
| 9 | 2018 | 17 | |
| 10 | 2018 | 37 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 49 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 64 | |
| 16 | 2015 | 39 | |
| 17 | 2015 | 152 | |
| 18 | 2014 | 36 | |
| 19 | 2012 | 37 | |
| 20 | 2012 | 22 |
About Thomas D. Niehaus
Thomas D. Niehaus is a scholar working on Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Enzyme Structure and Function (7 papers), Metabolism and Genetic Disorders (6 papers), Plant biochemistry and biosynthesis (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Genomics and Phylogenetic Studies (4 papers), Mitochondrial Function and Pathology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Biochemistry (86 citations), Molecular Biology (807 citations) and Clinical Biochemistry (75 citations). Thomas D. Niehaus has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Andrew D. Hanson, Oliver Fiehn, Mona Elbadawi-Sidhu, Valérie de Crécy‐Lagard, Joe Chappell, Christopher S. Henry, Shigeru Okada, Timothy P. Devarenne, James G. Jeffryes and Arthur J.L. Cooper. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.