Mark Haid
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
Papers in
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- Diabetes Treatment and Management 5
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
-
- Metabolomics and Mass Spectrometry Studies 11
- Sphingolipid Metabolism and Signaling 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Jerzy Adamski (9 shared papers)Cornelia P. Prehn (5 shared papers)Gabriele Möller (3 shared papers)Werner Römisch‐Margl (2 shared papers)Simone Wahl (1 shared paper)Caroline Muschet (1 shared paper)Alexander Cecil (4 shared papers)Janina Tokarz (4 shared papers)
- Journals
- Nature Communications (3 papers)Genome Medicine (2 papers)Diabetes Care (2 papers)Journal of Cachexia Sarcopenia and Muscle (2 papers)Diabetologia (2 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Mark Haid
41 papers receiving 1.5k citations
Mark Haid's Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 171
- Molecular Biology 605
- Health Informatics 17
- Physiology 139
- Aging 9
Countries citing papers authored by Mark Haid
This map shows the geographic impact of Mark Haid'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 Mark Haid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Haid more than expected).
Fields of papers citing papers by Mark Haid
This network shows the impact of papers produced by Mark Haid. 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 Mark Haid. The network helps show where Mark Haid may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Haid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A reference map of potential determinants for the human serum metabolome Hit paper breakdown → | 2020 | 340 |
| 2 | 2017 | 132 | |
| 3 | 2022 | 87 | |
| 4 | 2023 | 82 | |
| 5 | 2015 | 77 | |
| 6 | 2020 | 76 | |
| 7 | 2021 | 70 | |
| 8 | 2022 | 68 | |
| 9 | 2019 | 56 | |
| 10 | 2020 | 53 | |
| 11 | 2020 | 46 | |
| 12 | 2017 | 43 | |
| 13 | 2018 | 37 | |
| 14 | 2017 | 34 | |
| 15 | 2020 | 34 | |
| 16 | 2021 | 31 | |
| 17 | 2019 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2022 | 24 | |
| 20 | 2024 | 22 |
About Mark Haid
Mark Haid is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Pharmacology and Biochemistry, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Diabetes Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Asthma and respiratory diseases (3 papers), Bioinformatics and Genomic Networks (3 papers), Nutrition and Health in Aging (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (171 citations), Molecular Biology (605 citations), Health Informatics (17 citations), Physiology (139 citations) and Aging (9 citations). Mark Haid has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Jerzy Adamski, Cornelia P. Prehn, Gabriele Möller, Werner Römisch‐Margl, Simone Wahl, Caroline Muschet, Alexander Cecil, Janina Tokarz, Ludger A. Wessjohann and Kim E. Steiner. Their work appears in journals such as Nature Communications, Genome Medicine, Diabetes Care, Journal of Cachexia Sarcopenia and Muscle and Diabetologia.
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.