H.A. Baylis

5.6k citations
59 papers · 2.3k · h-index 27

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Vector-borne infectious diseases

Papers in

    • Insect Resistance and Genetics 7
    • Nicotinic Acetylcholine Receptors Study 4
    • Genetics, Aging, and Longevity in Model Organisms 24

H.A. Baylis

59 papers receiving 2.2k citations

Peers

H.A. Baylis
Comparison fields: 5 of 94
  • Aging 575
  • Parasitology 423
  • Endocrine and Autonomic Systems 243
  • Insect Science 460
  • Cellular and Molecular Neuroscience 321
Replace Doris Cully with:
Doris Cully United States
R. Elwyn Isaac United Kingdom
Asako Sugimoto Japan
Raffi V. Aroian United States
Igor Antoshechkin United States
C. Léopold Kurz France
Nathalie Pujol France
Shalina Mahajan‐Miklos United States
Peter R. Boag Australia
Nicolas Buchon United States
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Citations per field
00.5×2.5×
Doris Cully · 1×
Citations per year

Countries citing papers authored by H.A. Baylis

Since Specialization
Citations

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

Fields of papers citing papers by H.A. Baylis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.A. Baylis. 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 H.A. Baylis. The network helps show where H.A. Baylis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987222
2 1993155
3 1995139
4 2004132
5 1998108
6 1999107
7 199283
8 200583
9 199978
10 200473
11 200260
12 198859
13 199559
14
An extensive and diverse gene family of nicotinic acetylcholine receptor alpha subunits in Caenorhabditis elegans.
199851
15 198750
16 199549
17 198848
18 200138
19 198936
20 199636

About H.A. Baylis

H.A. Baylis is a scholar working on Molecular Biology, Aging, Plant Science, Insect Science and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (24 papers), Insect and Pesticide Research (9 papers), Vector-borne infectious diseases (8 papers), Insect Resistance and Genetics (7 papers), Neurobiology and Insect Physiology Research (7 papers), Plant Stress Responses and Tolerance (5 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Aging (575 citations), Parasitology (423 citations), Endocrine and Autonomic Systems (243 citations), Insect Science (460 citations) and Cellular and Molecular Neuroscience (321 citations). H.A. Baylis has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include David B. Sattelle, Mervyn J. Bibb, Elizabeth J. Lawlor, Keith Chater, Denise S. Walker, Steven D. Buckingham, Alastair M. Hosie, Michael D. Squire, Rafael P. Vázquez‐Manrique and B.A. Allsopp. Their work appears in journals such as Molecular and Biochemical Parasitology, Molecular Biology of the Cell, Parasitology, British Journal of Pharmacology and Genomics.

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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