Matthew Sieber

989 citations
15 papers · 680 · h-index 12

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • Epigenetics and DNA Methylation 3
    • Plant biochemistry and biosynthesis 2
    • Adipose Tissue and Metabolism 3

Matthew Sieber

15 papers receiving 675 citations

Peers

Matthew Sieber
Comparison fields: 5 of 67
  • Aging 92
  • Cellular and Molecular Neuroscience 235
  • Biochemistry 87
  • Insect Science 112
  • Immunology 125
Replace Kirk Narzinski with:
Kirk Narzinski United States
Janelle Evans United States
Deborah C. I. Goberdhan United Kingdom
Hui‐Ying Lim United States
Douglas H. Sieglaff United States
Michael A. Horner United States
Jill L. Fink United States
Marta Kostrouchová Czechia
George A. Soultoukis Germany
Jun Terashima Japan
Matthew Sieber relative to Kirk Narzinski United States Kirk Narzinski's profile →
Citations per field
00.5×2.6×
Kirk Narzinski · 1×
Citations per year

Countries citing papers authored by Matthew Sieber

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Sieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Matthew Sieber, 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 Matthew Sieber Line = papers co-authored together Matthew Sieber links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015150
2 2009129
3 2016117
4 201198
5 201864
6 201729
7 202119
8 202215
9 202313
10 202213
11 202312
12 202312
13 20246
14 20242
15 20251

About Matthew Sieber

Matthew Sieber is a scholar working on Molecular Biology, Physiology, Cancer Research, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 680 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers), Neurobiology and Insect Physiology Research (3 papers), Lipid metabolism and biosynthesis (3 papers), Reproductive Biology and Fertility (3 papers), Adipose Tissue and Metabolism (3 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Aging (92 citations), Cellular and Molecular Neuroscience (235 citations), Biochemistry (87 citations), Insect Science (112 citations) and Immunology (125 citations). Matthew Sieber has collaborated with scholars based in United States. Frequent co-authors include Allan C. Spradling, Carl S. Thummel, Michael B Thomsen, Sibiao Yue, Celeste A. Berg, Lei Wang, Jianjun Sun, Ashley Solmonson, Trevor S. Tippetts and Lei Wang. Their work appears in journals such as Cell Metabolism, Nature Metabolism, Nature Communications, Developmental Cell and Current Biology.

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.

Explore authors with similar magnitude of impact