Lon S. Kaufman

2.3k citations
41 papers · 1.9k indexed · h-index 25
Topics
Photosynthetic Processes and Mechanisms (29 papers)Plant Molecular Biology Research (25 papers)Light effects on plants (24 papers)
Partner nations
United StatesCanada

In The Last Decade

Lon S. Kaufman

41 papers receiving 1.8k citations

Peers

Lon S. Kaufman
Comparison fields: 5 of 87
  • Plant Science 1.5k
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 135
  • Renewable Energy, Sustainability and the Environment 64
  • Cell Biology 54
Replace E. Schäfer with:
E. Schäfer Germany
Thomas Merkle Germany
Frédy Barneche France
Rebecca A. Ayers United States
Kazutoshi Yamagishi Japan
Marie E. Petracek United States
Tong‐Seung Tseng United States
Keun Pyo Lee China
Ing‐Feng Chang Taiwan
Lon S. Kaufman relative to E. Schäfer Germany E. Schäfer's profile →
Citations per field
00.5×3.6×
E. Schäfer · 1×
Citations per year

Countries citing papers authored by Lon S. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Lon S. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lon S. Kaufman. 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 Lon S. Kaufman. The network helps show where Lon S. Kaufman may publish in the future.

Co-authorship network of co-authors of Lon S. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Lon S. Kaufman. A scholar is included among the top collaborators of Lon S. Kaufman 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 Lon S. Kaufman. Lon S. Kaufman 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 29
2 5
3 59
4 46
5 23
6 21
7 6
8 16
9 40
10 3
11 98
12 22
13 35
14 20
15 40
16 20
17 48
18 57
19 60
20 120

About Lon S. Kaufman

Lon S. Kaufman is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (29 papers), Plant Molecular Biology Research (25 papers) and Light effects on plants (24 papers). The work is most often cited by research in Plant Science (1.5k citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (135 citations). Lon S. Kaufman has collaborated with scholars based in United States and Canada. Frequent co-authors include Katherine M. Warpeha, William F. Thompson, Yevgeniya R. Lapik, Winslow R. Briggs, Kevin M. Folta, John C. Watson, Heidi E. Hamm, Mark M. Rasenick, Kathleen A. Marrs and Jie Gao. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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