J. Clark Lagarias

177 papers receiving 11.3k citations

Hit Papers

PHYTOCHROME STRUCTURE AND SIGNALING MECHANISMS20062026201220192006250500750

Peers

J. Clark Lagarias
Comparison fields: 5 of 119
  • Molecular Biology 8.9k
  • Plant Science 8.7k
  • Cellular and Molecular Neuroscience 3.2k
  • Renewable Energy, Sustainability and the Environment 2.0k
  • Ecology, Evolution, Behavior and Systematics 1.4k
Replace Imre Vass with:
Imre Vass Hungary
Masamitsu Wada Japan
Winslow R. Briggs United States
Egbert J. Boekema Netherlands
Bertil Andersson Sweden
Masahiko Ikeuchi Japan
Toshiharu Shikanai Japan
Wolfgang Gärtner Germany
Dario Leister Germany
Itzhak Ohad Israel
J. Clark Lagarias relative to Imre Vass Hungary Imre Vass's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Clark Lagarias

Since Specialization
Citations

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

Fields of papers citing papers by J. Clark Lagarias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Clark Lagarias

This figure shows the co-authorship network connecting the top 25 collaborators of J. Clark Lagarias. A scholar is included among the top collaborators of J. Clark Lagarias 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 J. Clark Lagarias. J. Clark Lagarias 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 1
2 1
3 10
4 33
5 62
6 23
7 38
8 306
9 41
10 30
11 90
12 8
13 147
14 23
15 168
16 21
17 51
18 9
19 48
20 52

About J. Clark Lagarias

J. Clark Lagarias is a scholar working on Plant Science, Renewable Energy, Sustainability and the Environment and Cellular and Molecular Neuroscience, having authored 179 papers that have together received 11.5k indexed citations. Recurring topics across this work include Light effects on plants (138 papers), Photosynthetic Processes and Mechanisms (125 papers) and Algal biology and biofuel production (46 papers). The work is most often cited by research in Plant Science (8.7k citations), Cellular and Molecular Neuroscience (3.2k citations) and Molecular Biology (8.9k citations). J. Clark Lagarias has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Nathan C. Rockwell, Shelley S. Martin, Kuo‐Chen Yeh, Shu‐Hsing Wu, John T. Murphy, Henry Rapoport, Beronda L. Montgomery, Nicole Frankenberg‐Dinkel, Tedd D. Elich and Tom Berkelman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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2026