Mathias Nielsen

435 citations
10 papers · 260 · h-index 7

Impact in

Papers in

    • Plant Gene Expression Analysis 3
    • Genomics and Chromatin Dynamics 3
    • DNA Repair Mechanisms 1
    • Epigenetics and DNA Methylation 1
    • Plant Molecular Biology Research 6
    • Plant nutrient uptake and metabolism 3
    • Plant Stress Responses and Tolerance 2
    • Plant-Microbe Interactions and Immunity 2

Mathias Nielsen

10 papers receiving 258 citations

Peers

Mathias Nielsen
Comparison fields: 5 of 29
  • Plant Science 172
  • Endocrinology 15
  • Molecular Biology 188
  • Cell Biology 32
  • Genetics 33
Replace Naomi Miyaji with:
Naomi Miyaji Japan
Qin Feng China
Dewei Yang China
Hushuai Nie China
Yin‐Na Su China
Yoon‐Jung Hwang South Korea
Tomasz Bieluszewski Poland
Zudong Sun China
Luoye Li China
Josiah Seaman United States
Mathias Nielsen relative to Naomi Miyaji Japan Naomi Miyaji's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Mathias Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202177
2 201957
3 199634
4 202233
5 202420
6 202216
7 202313
8 20255
9 20243
10 20252

About Mathias Nielsen

Mathias Nielsen is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Infectious Diseases, having authored 10 papers that have together received 260 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant Gene Expression Analysis (3 papers), Plant nutrient uptake and metabolism (3 papers), Genomics and Chromatin Dynamics (3 papers), Plant Stress Responses and Tolerance (2 papers), Plant-Microbe Interactions and Immunity (2 papers), DNA Repair Mechanisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Plant Science (172 citations), Endocrinology (15 citations), Molecular Biology (188 citations), Cell Biology (32 citations) and Genetics (33 citations). Mathias Nielsen has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Caroline Dean, Peter Kindgren, Vicent Pelechano, Sebastian Marquardt, Maxim Ivanov, Ryan Ard, Marianne Tecklenburg, Peter L. Kuempel, Philip Wolff and Jitender Cheema. Their work appears in journals such as Nature Communications, Molecular Cell, Genes & Development, Proceedings of the National Academy of Sciences and Cell Reports.

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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