John S. LaPolla

1.4k citations
60 papers · 1.1k · h-index 19

Impact in

Papers in

John S. LaPolla

57 papers receiving 1.0k citations

Peers

John S. LaPolla
Comparison fields: 5 of 47
  • Ecology, Evolution, Behavior and Systematics 878
  • Genetics 914
  • Insect Science 389
  • Ecological Modeling 79
  • Social Psychology 187
Replace Alexander G. Radchenko with:
Alexander G. Radchenko Ukraine
James P. Pitts United States
Christian Rabeling United States
Jeffrey Sosa‐Calvo United States
Scott E. Solomon United States
Bonnie B. Blaimer United States
Edward G. LeBrun United States
Matthias Sanetra Germany
Luis A. Calcaterra Argentina
Manfred Verhaagh Germany
John S. LaPolla relative to Alexander G. Radchenko Ukraine Alexander G. Radchenko's profile →
Citations per field
00.5×1.5×2×2.3×
Alexander G. Radchenko · 1×
Citations per year

Countries citing papers authored by John S. LaPolla

Since Specialization
Citations

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

Fields of papers citing papers by John S. LaPolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011117
2 2010104
3 201564
4 201262
5 201655
6 201754
7 200241
8 201239
9
Acropyga (Hymenoptera: Formicidae) of the world
200438
10 201135
11 201128
12 201128
13 201127
14 201627
15 201825
16 200622
17 201420
18 201120
19 200020
20 200917

About John S. LaPolla

John S. LaPolla is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Social Psychology and Ecological Modeling, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (51 papers), Plant and animal studies (43 papers), Fossil Insects in Amber (17 papers), Insect and Pesticide Research (15 papers), Animal and Plant Science Education (8 papers), Research on scale insects (6 papers), Insect-Plant Interactions and Control (6 papers) and Insect symbiosis and bacterial influences (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (878 citations), Genetics (914 citations), Insect Science (389 citations), Ecological Modeling (79 citations) and Social Psychology (187 citations). John S. LaPolla has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Seán G. Brady, Steven O. Shattuck, Robert J. Kallal, G. M. Dlussky, Vincent Perrichot, Brian Lee Fisher, Peter G. Hawkes, Dietrich Gotzek, Ted R. Schultz and David H. Oi. Their work appears in journals such as Zootaxa, ZooKeys, Transactions of the American Entomological Society, Systematic Entomology and Molecular Phylogenetics and Evolution.

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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