Michael M. Goodin

5.3k total citations · 1 hit paper
57 papers, 3.6k citations indexed

About

Michael M. Goodin is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Michael M. Goodin has authored 57 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 20 papers in Molecular Biology and 15 papers in Insect Science. Recurrent topics in Michael M. Goodin's work include Plant Virus Research Studies (44 papers), Insect-Plant Interactions and Control (13 papers) and Plant and Fungal Interactions Research (11 papers). Michael M. Goodin is often cited by papers focused on Plant Virus Research Studies (44 papers), Insect-Plant Interactions and Control (13 papers) and Plant and Fungal Interactions Research (11 papers). Michael M. Goodin collaborates with scholars based in United States, Australia and Brazil. Michael M. Goodin's co-authors include Ralf G. Dietzgen, Andrew O. Jackson, Steven A. Lommel, R. A. Naidu, David Zaitlin, Kathleen Martin, Romit Chakrabarty, Steven E. Ruzin, Denise Schichnes and Steven A. Whitham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Michael M. Goodin

56 papers receiving 3.5k citations

Hit Papers

Nicotiana benthamiana: Its History and Future as a Model ... 2008 2026 2014 2020 2008 100 200 300 400

Peers

Michael M. Goodin
Comparison fields: 5 of 84
  • Plant Science 3.0k
  • Molecular Biology 1.3k
  • Insect Science 732
  • Endocrinology 637
  • Biotechnology 522
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Jialin Yu China View profile →
Citations per field, relative to Michael M. Goodin
Michael M. Goodin · 1×
Citations per year, relative to Michael M. Goodin
Michael M. Goodin · 1×

Countries citing papers authored by Michael M. Goodin

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Goodin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Goodin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Goodin. A scholar is included among the top collaborators of Michael M. Goodin 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 Michael M. Goodin. Michael M. Goodin 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 0
2 1
3 50
4 9
5 4
6 12
7 33
8 1
9 10
10 46
11
Interactions between tospovirus proteins in mixed infections using bimolecular fluorescence complementation (BiFC)
1
12 51
13 21
14 20
15 56
16 4
17 50
18 226
19 12
20
Changes in levels and isozymes of peroxidase in wounded peach bark.
3

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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