Mads Eggert Nielsen

1.5k citations
27 papers · 1.0k indexed · 1 hit paper · h-index 15
Topics
Plant-Microbe Interactions and Immunity (10 papers)Plant Reproductive Biology (7 papers)Legume Nitrogen Fixing Symbiosis (6 papers)

In The Last Decade

Mads Eggert Nielsen

25 papers receiving 1.0k citations

Hit Papers

Machine learning and deep learning applications in microb...2022202620232024202250100150

Peers

Mads Eggert Nielsen
Comparison fields: 5 of 102
  • Plant Science 700
  • Molecular Biology 610
  • Cell Biology 151
  • Cancer Research 45
  • Infectious Diseases 34
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Chaohui Li China
Andrea Pompa Italy
Elena A. Minina Sweden
J. Lucas Boatwright United States
Liangming Chen China
Huiqiong Lin United States
Michele Bellucci Italy
Mads Eggert Nielsen relative to Chaohui Li China Chaohui Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mads Eggert Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by Mads Eggert Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mads Eggert Nielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Mads Eggert Nielsen. A scholar is included among the top collaborators of Mads Eggert Nielsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mads Eggert Nielsen. Mads Eggert Nielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 2
4 0
5 4
6 14
7 35
8 5
9 17
10 61
11 29
12 32
13 78
14 36
15 23
16 67
17 13
18 116
19 48
20 11

About Mads Eggert Nielsen

Mads Eggert Nielsen is a scholar working on Plant Science, Biophysics and Cell Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (10 papers), Plant Reproductive Biology (7 papers) and Legume Nitrogen Fixing Symbiosis (6 papers). The work is most often cited by research in Plant Science (700 citations), Cell Biology (151 citations) and Molecular Biology (610 citations). Mads Eggert Nielsen has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Hans Thordal‐Christensen, Takashi Ueda, Angela Feechan, Thomas Bouquin, John Mundy, Simon Rasmussen, Lars Hestbjerg Hansen, Svetlana Kutuzova, Knud Nor Nielsen and Randy Foster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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