Pamela E. Padgett

44 total papers · 933 total citations
30 papers, 704 citations indexed

About

Pamela E. Padgett is a scholar working on Plant Science, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Pamela E. Padgett has authored 30 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 10 papers in Atmospheric Science and 8 papers in Global and Planetary Change. Recurrent topics in Pamela E. Padgett's work include Atmospheric chemistry and aerosols (10 papers), Plant responses to elevated CO2 (10 papers) and Plant nutrient uptake and metabolism (4 papers). Pamela E. Padgett is often cited by papers focused on Atmospheric chemistry and aerosols (10 papers), Plant responses to elevated CO2 (10 papers) and Plant nutrient uptake and metabolism (4 papers). Pamela E. Padgett collaborates with scholars based in United States, Armenia and Slovakia. Pamela E. Padgett's co-authors include Edith B. Allen, Andrzej Bytnerowicz, Robert T. Leonard, Thomas H. Nash, Richard A. Minnich, Sarah Jovan, David R. Parker, Robert L. Heath, Michael J. Arbaugh and W.E. Ryan and has published in prestigious journals such as Journal of Experimental Botany, Atmospheric Environment and Ecological Applications.

In The Last Decade

Pamela E. Padgett

29 papers receiving 655 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pamela E. Padgett 313 262 235 168 150 30 704
Jeňýk Hofmeister 299 1.0× 247 0.9× 314 1.3× 187 1.1× 241 1.6× 44 847
Tsutomu Enoki 208 0.7× 208 0.8× 362 1.5× 172 1.0× 135 0.9× 55 772
T. Weaver 228 0.7× 423 1.6× 353 1.5× 226 1.3× 131 0.9× 42 857
Yan Wu 206 0.7× 227 0.9× 165 0.7× 233 1.4× 96 0.6× 58 828
Mitja Kaligarič 375 1.2× 199 0.8× 189 0.8× 222 1.3× 188 1.3× 62 891
Satoru Hobara 227 0.7× 410 1.6× 126 0.5× 83 0.5× 147 1.0× 41 878
J. T. Arredondo 226 0.7× 203 0.8× 259 1.1× 299 1.8× 148 1.0× 28 757
Hans Sandén 335 1.1× 211 0.8× 142 0.6× 150 0.9× 78 0.5× 35 879
Muneto Hirobe 169 0.5× 188 0.7× 228 1.0× 192 1.1× 103 0.7× 53 693
Thomas Drouet 192 0.6× 175 0.7× 321 1.4× 161 1.0× 206 1.4× 38 881

Countries citing papers authored by Pamela E. Padgett

Since Specialization
Citations

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

Fields of papers citing papers by Pamela E. Padgett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela E. Padgett. 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 Pamela E. Padgett. The network helps show where Pamela E. Padgett may publish in the future.

Co-authorship network of co-authors of Pamela E. Padgett

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela E. Padgett. A scholar is included among the top collaborators of Pamela E. Padgett 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 Pamela E. Padgett. Pamela E. Padgett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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