Marc J. Curtis

1.1k total citations
22 papers, 865 citations indexed

About

Marc J. Curtis is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Marc J. Curtis has authored 22 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 10 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Marc J. Curtis's work include Plant Pathogens and Fungal Diseases (7 papers), DNA Repair Mechanisms (4 papers) and Lichen and fungal ecology (4 papers). Marc J. Curtis is often cited by papers focused on Plant Pathogens and Fungal Diseases (7 papers), DNA Repair Mechanisms (4 papers) and Lichen and fungal ecology (4 papers). Marc J. Curtis collaborates with scholars based in United States, United Kingdom and Ireland. Marc J. Curtis's co-authors include T. Wolpert, John B. Hays, Brian Gilbert, Teresa A. Kidarsa, Shin‐Cheng Tzeng, Claudia S. Maier, Jennifer M. Lorang, C. Samuel Bradford, J B Hays and Anne Britt and has published in prestigious journals such as Science, Biochemistry and The Plant Journal.

In The Last Decade

Marc J. Curtis

21 papers receiving 850 citations

Peers

Marc J. Curtis
Comparison fields: 5 of 88
  • Molecular Biology 516
  • Plant Science 516
  • Cell Biology 103
  • Epidemiology 64
  • Immunology 52
Replace Sylvia Müller with:
Sylvia Müller Germany
Shinji Yasuhira Japan
Gaihong Cai China
Suhn‐Kee Chae South Korea
Yann Aubert France
Christopher A. Zien United States
Dongbin Xu China
Lynn M. Hartweck United States
Jennifer Dahan United States
Sylvia Müller Germany View profile →
Citations per field, relative to Marc J. Curtis
Marc J. Curtis · 1×
Citations per year, relative to Marc J. Curtis
Marc J. Curtis · 1×

Countries citing papers authored by Marc J. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Marc J. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc J. Curtis. 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 Marc J. Curtis. The network helps show where Marc J. Curtis may publish in the future.

Co-authorship network of co-authors of Marc J. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Marc J. Curtis. A scholar is included among the top collaborators of Marc J. Curtis 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 Marc J. Curtis. Marc J. Curtis 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
# Work Indexed citations
1 1
2 1
3 158
4 14
5
Determination of sucrose and glucose in sugarcane using a glucose biosensor.
1
6 9
7 6
8 20
9 122
10 1
11 12
12 33
13 9
14 68
15
Programmed Cell Death in the Disease Response
1
16 297
17 81
18 13
19 2
20 9

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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