Tim R. Ladd

1.1k citations
36 papers · 1.0k · h-index 20

Impact in

Papers in

    • Insect Resistance and Genetics 17
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Insect Utilization and Effects 5
    • Entomopathogenic Microorganisms in Pest Control 5
    • Insect and Pesticide Research 5

Tim R. Ladd

36 papers receiving 956 citations

Peers

Tim R. Ladd
Comparison fields: 5 of 65
  • Insect Science 519
  • Cellular and Molecular Neuroscience 431
  • Biochemistry 49
  • Molecular Biology 544
  • Genetics 215
Replace Masatoshi Iga with:
Masatoshi Iga Japan
Françoise Bozzolan France
Xiaofeng Zhou United States
Leslie W. Tsai United States
P. Porcheron France
Kyo Itoyama Japan
Sho Sakurai Japan
F. C. Baker United States
Manabu Kamimura Japan
Becky A. Sage United States
Tim R. Ladd relative to Masatoshi Iga Japan Masatoshi Iga's profile →
Citations per field
00.5×1.5×
Masatoshi Iga · 1×
Citations per year

Countries citing papers authored by Tim R. Ladd

Since Specialization
Citations

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

Fields of papers citing papers by Tim R. Ladd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim R. Ladd. 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 Tim R. Ladd. The network helps show where Tim R. Ladd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199984
2 199582
3 199664
4 200156
5 200156
6 201355
7 199953
8 200251
9 199947
10 199845
11 199841
12 199640
13 199739
14 200335
15 200432
16 199531
17 201030
18 201722
19 199721
20 200020

About Tim R. Ladd

Tim R. Ladd is a scholar working on Molecular Biology, Insect Science, Cellular and Molecular Neuroscience, Genetics and Ecology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (17 papers), Neurobiology and Insect Physiology Research (14 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Insect Utilization and Effects (5 papers), Entomopathogenic Microorganisms in Pest Control (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Forest Insect Ecology and Management (5 papers) and Insect and Pesticide Research (5 papers). The work is most often cited by research in Insect Science (519 citations), Cellular and Molecular Neuroscience (431 citations), Biochemistry (49 citations), Molecular Biology (544 citations) and Genetics (215 citations). Tim R. Ladd has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Arthur Retnakaran, Subba Reddy Palli, S. S. Sohi, Peter J. Krell, Qili Feng, Sichun Zheng, M.J. Primavera, K. G. Davey, Basil M. Arif and Tarlochan S. Dhadialla. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Archives of Insect Biochemistry and Physiology, Journal of Insect Physiology, Molecular and Cellular Endocrinology and Scientific Data.

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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