Andrew Chapple

2.5k citations
99 papers · 1.7k · h-index 15

Impact in

    • Plant nutrient uptake and metabolism
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Food composition and properties
    • Microbial Metabolites in Food Biotechnology

Papers in

Andrew Chapple

83 papers receiving 1.7k citations

Peers

Andrew Chapple
Comparison fields: 5 of 119
  • Plant Science 971
  • Nutrition and Dietetics 323
  • Biotechnology 148
  • Statistics and Probability 70
  • Molecular Biology 512
Replace C.A. van der Merwe with:
C.A. van der Merwe South Africa
Xiaoxia Wei China
Tilahun Abebe United States
J.E. Turner United States
Ravi Kant Narayan India
Haim Bar United States
Julia Scheel Germany
Ji‐Youn Kim South Korea
Maya Lotan‐Pompan Israel
Andrew Chapple relative to C.A. van der Merwe South Africa C.A. van der Merwe's profile →
Citations per field
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C.A. van der Merwe · 1×
Citations per year

Countries citing papers authored by Andrew Chapple

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Chapple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004330
2 2007310
3 2004226
4 2004198
5 2005142
6 202125
7 201925
8 201823
9 202322
10 201821
11 202020
12 202220
13 202115
14 202115
15 202314
16 202014
17 201614
18 201913
19 202010
20 201810

About Andrew Chapple

Andrew Chapple is a scholar working on Surgery, Statistics and Probability, Epidemiology, Economics and Econometrics and Oncology, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Facial Trauma and Fracture Management (5 papers), Dental materials and restorations (5 papers), Bone health and osteoporosis research (4 papers), Food composition and properties (4 papers), Dental Research and COVID-19 (4 papers) and Total Knee Arthroplasty Outcomes (4 papers). The work is most often cited by research in Plant Science (971 citations), Nutrition and Dietetics (323 citations), Biotechnology (148 citations), Statistics and Probability (70 citations) and Molecular Biology (512 citations). Andrew Chapple has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Steven M. Smith, Alison M. Smith, David Thorneycroft, Samuel C. Zeeman, Tansy Chia, Daniel C. Fulton, Nicholas P. Harberd, Patrick Achard, Thomas Möritz and Pascal Genschik. Their work appears in journals such as Journal of Oral and Maxillofacial Surgery, Journal of Clinical Oncology, The Journal of Arthroplasty, Pharmaceutical Statistics and Arthroplasty Today.

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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