Michael Boll

1.6k citations
34 papers · 1.3k · h-index 22

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biochemistry top 0.5%
    • Amino Acid Enzymes and Metabolism

Papers in

    • Ion Transport and Channel Regulation 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Amino Acid Enzymes and Metabolism 13

Michael Boll

34 papers receiving 1.3k citations

Peers

Michael Boll
Comparison fields: 5 of 113
  • Aging 206
  • Biochemistry 487
  • Clinical Biochemistry 158
  • Physiology 70
  • Aquatic Science 99
Replace You‐Jun Fei with:
You‐Jun Fei United States
Britta Spanier Germany
Scot J. Stone Canada
Vasily D. Antonenkov Finland
Alaattin Kaya United States
Nadine Camougrand France
Renata L.S. Goncalves United States
Alan A. Sneddon United Kingdom
Mary C. Hunt Sweden
Michio Tsuda Japan
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Citations per field
00.5×6.2×
You‐Jun Fei · 1×
Citations per year

Countries citing papers authored by Michael Boll

Since Specialization
Citations

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

Fields of papers citing papers by Michael Boll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004149
2 2002141
3 2003125
4 2004104
5 200387
6 200483
7 200257
8 200346
9 200444
10 200344
11 200040
12 200439
13 201333
14 201332
15 200530
16 198028
17 201027
18 201326
19 200425
20 201223

About Michael Boll

Michael Boll is a scholar working on Molecular Biology, Biochemistry, Aging, Oncology and Clinical Biochemistry, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (13 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Drug Transport and Resistance Mechanisms (7 papers), Metabolism and Genetic Disorders (4 papers), Ion Transport and Channel Regulation (4 papers), Circadian rhythm and melatonin (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Aging (206 citations), Biochemistry (487 citations), Clinical Biochemistry (158 citations), Physiology (70 citations) and Aquatic Science (99 citations). Michael Boll has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Hannelore Daniel, Isabel Rubio‐Aliaga, Martin Foltz, Gábor Kottra, Uwe Wenzel, Barbara Meissner, Ralf Baumeister, Bruno Gasnier, Catriona M. H. Anderson and David T. Thwaites. Their work appears in journals such as Molecular Nutrition & Food Research, Journal of Biological Chemistry, Journal of Occupational Medicine and Toxicology, Genes & Nutrition and American Journal of Physiology-Gastrointestinal and Liver Physiology.

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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