Jon E. Anderson

2.5k citations
43 papers · 2k · h-index 21

Impact in

Papers in

    • Traditional and Medicinal Uses of Annonaceae 12
    • Statistics Education and Methodologies 4
    • Statistical Methods and Inference 3
    • Statistical Distribution Estimation and Applications 3

Jon E. Anderson

42 papers receiving 1.8k citations

Peers

Jon E. Anderson
Comparison fields: 5 of 120
  • Biochemistry 258
  • General Decision Sciences 51
  • Organic Chemistry 381
  • Plant Science 399
  • Statistics and Probability 112
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Citations per field
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Citations per year

Countries citing papers authored by Jon E. Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Jon E. Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon E. Anderson, 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 Jon E. Anderson Line = papers co-authored together Jon E. Anderson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998549
2 1991163
3 1990142
4 2012104
5 201688
6 199187
7 200983
8 199277
9 201664
10 201256
11 199348
12 199346
13 199245
14 199141
15 201539
16 199238
17 198834
18 199926
19 198925
20 199825

About Jon E. Anderson

Jon E. Anderson is a scholar working on Biochemistry, Statistics and Probability, General Decision Sciences, Forestry and Endocrinology, having authored 43 papers that have together received 2k indexed citations. Recurring topics across this work include Traditional and Medicinal Uses of Annonaceae (12 papers), Statistics Education and Methodologies (4 papers), Statistical Methods and Inference (3 papers), Statistical Distribution Estimation and Applications (3 papers), Obstructive Sleep Apnea Research (3 papers), Pasture and Agricultural Systems (2 papers), Decision-Making and Behavioral Economics (2 papers) and Intimate Partner and Family Violence (2 papers). The work is most often cited by research in Biochemistry (258 citations), General Decision Sciences (51 citations), Organic Chemistry (381 citations), Plant Science (399 citations) and Statistics and Probability (112 citations). Jon E. Anderson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jerry L. McLaughlin, Lingling L. Rogers, Xin-ping Fang, Ching‐Jer Chang, Phillip Edward Fanwick, Stephen V. Burks, David Lloyd Smith, Thomas A. Louis, Aldo Rustichini C and Christopher T. Cole. Their work appears in journals such as Journal of Natural Products, Tetrahedron, Journal of the American Statistical Association, SLEEP and Global Change Biology.

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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