Sol Green

1.6k citations
15 papers · 1.3k · h-index 10

Impact in

  • Physiology top 5%
    • Clinical Laboratory Practices and Quality Control
    • Plant Gene Expression Analysis
    • Plant biochemistry and biosynthesis
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Clinical Laboratory Practices and Quality Control 5
    • Plant biochemistry and biosynthesis 8
    • Plant Gene Expression Analysis 1

Sol Green

15 papers receiving 1.3k citations

Peers

Sol Green
Comparison fields: 5 of 57
  • Physiology 431
  • Molecular Biology 464
  • Plant Science 107
  • Chemical Health and Safety 1
  • Emergency Medical Services 11
Replace Michaël Méret with:
Michaël Méret Germany
Junaid Shabbeer United States
R. S. C. Wong Canada
Shalu Sharma India
Myeon Haeng Cho South Korea
Jennifer J. Wanat United States
Xiaomin Song China
Haifeng Fu China
Sabine Grat France
Jung Hee Joo South Korea
Sol Green relative to Michaël Méret Germany Michaël Méret's profile →
Citations per field
00.5×2×4×7.0×
Michaël Méret · 1×
Citations per year

Countries citing papers authored by Sol Green

Since Specialization
Citations

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

Fields of papers citing papers by Sol Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sol Green. 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 Sol Green. The network helps show where Sol Green may publish in the future.

Co-authors

The 25 scholars most cited alongside Sol Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sol Green Line = papers co-authored together Sol Green links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009467
2 2008352
3 2008120
4 2009109
5 200669
6 201554
7 200940
8 201034
9 201026
10 201126
11 20118
12 20085
13 20095
14 20095
15 20062

About Sol Green

Sol Green is a scholar working on Physiology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (8 papers), Clinical Laboratory Practices and Quality Control (5 papers) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Physiology (431 citations), Molecular Biology (464 citations), Plant Science (107 citations), Chemical Health and Safety (1 citation) and Emergency Medical Services (11 citations). Sol Green has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Vladimír Palička, Giuseppe Lippi, Norbert J. C. Blanckaert, Anne J. Vassault, Mario Plebani, Pier Angelo Bonini, Steve Kitchen, Richard V. Espley, Jo Putterill and Henk J. Schouten. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), FEBS Letters, The Plant Cell, Nature Communications and FEBS Journal.

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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