Deborah Charlesworth

1.9k citations
14 papers · 1.4k indexed · 1 hit paper · h-index 12

Deborah Charlesworth

14 papers receiving 1.4k citations

Hit Papers

The genetic basis of inbreeding depression6241999202620082017200400600

Peers

Deborah Charlesworth
Comparison fields: 5 of 76
  • Genetics 928
  • Ecology, Evolution, Behavior and Systematics 522
  • Aging 25
  • Plant Science 434
  • Nature and Landscape Conservation 118
Replace John P. Masly with:
John P. Masly United States
Nicolaas K. Michiels Germany
H A Orr United States
Susan E. Johnston United Kingdom
Camillo Bérénos United Kingdom
Rob W. Ness Canada
Aurora García‐Dorado Spain
Richard M. Kliman United States
Antonio Barbadilla Spain
Carlos López-Fanjul Spain
Deborah Charlesworth relative to John P. Masly United States John P. Masly's profile →
Citations per field
00.5×1.5×
John P. Masly · 1×
Citations per year

Countries citing papers authored by Deborah Charlesworth

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Charlesworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah Charlesworth. 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 Deborah Charlesworth. The network helps show where Deborah Charlesworth may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 2012118
2 201014
3 200895
4 200524
5 200329
6 200212
7 200188
8 200111
9 1999235
10
The genetic basis of inbreeding depressionbreakdown →
1999624
11 19981
12 1998118
13
Unstable haemoglobin disease caused by Hb Santa Ana- 88 (F4) Leu leads to Pro.
197011
14 197011

About Deborah Charlesworth

Deborah Charlesworth is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Plant Reproductive Biology (6 papers), Plant and animal studies (4 papers), Chromosomal and Genetic Variations (4 papers), Evolution and Genetic Dynamics (3 papers), Genetic diversity and population structure (3 papers), Plant Parasitism and Resistance (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Genetics (928 citations), Ecology, Evolution, Behavior and Systematics (522 citations) and Aging (25 citations). Deborah Charlesworth has collaborated with scholars based in United Kingdom, France and Czechia. Frequent co-authors include Brian Charlesworth, Jinliang Wang, William G. Hill, Françoise Monéger, Ioan Negrutiu, Dmitry A. Filatov, Ivan Atanassov, Cristina P. Vieira, Roman Hobza and Roberta Bergero.

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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