D. Hanold

489 citations
19 papers · 266 · h-index 9

Impact in

Papers in

    • Plant Virus Research Studies 12
    • Date Palm Research Studies 2
    • Plant and Fungal Interactions Research 7

D. Hanold

18 papers receiving 241 citations

Peers

D. Hanold
Comparison fields: 5 of 30
  • Horticulture 22
  • Endocrinology 59
  • Plant Science 217
  • Animal Science and Zoology 48
  • Inorganic Chemistry 38
Replace Heather J. Gladfelter with:
Heather J. Gladfelter United States
R. W. Hammond United States
H. R. Pappu United States
K. S. Ravi India
Binu George India
M C Stevenson United States
J. Dijkstra Netherlands
Sudeep Bag United States
Matevž Rupar United Kingdom
Katie Helms Australia
D. Hanold relative to Heather J. Gladfelter United States Heather J. Gladfelter's profile →
Citations per field
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Heather J. Gladfelter · 1×
Citations per year

Countries citing papers authored by D. Hanold

Since Specialization
Citations

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

Fields of papers citing papers by D. Hanold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside D. Hanold, 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 D. Hanold Line = papers co-authored together D. Hanold links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199086
2 199127
3 198725
4 198921
5 199121
6 200815
7 200615
8 198814
9 199211
10 19838
11 20066
12 19895
13 20033
14 20102
15 20102
16
CCCVd-related molecules in oil palms, coconut palms and other monocotyledons outside the Philippines.
20032
17
Report on ACIAR-Funded Research on Viroids and Viruses of Coconut Palm and other Tropical Monocotyledons 1985Ð1993
19981
18
Cadang-cadang disease of coconut palm.
19921
19
Coconut and other palm trees : foliar decay disease in Vanuatu
20031

About D. Hanold

D. Hanold is a scholar working on Plant Science, Endocrinology, Ecology, Molecular Biology and Animal Science and Zoology, having authored 19 papers that have together received 266 indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (7 papers), Oil Palm Production and Sustainability (4 papers), Coconut Research and Applications (4 papers), Animal Virus Infections Studies (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Insect Resistance and Genetics (3 papers) and Date Palm Research Studies (2 papers). The work is most often cited by research in Horticulture (22 citations), Endocrinology (59 citations), Plant Science (217 citations), Animal Science and Zoology (48 citations) and Inorganic Chemistry (38 citations). D. Hanold has collaborated with scholars based in Australia, Malaysia and Germany. Frequent co-authors include J. W. Randles, Peter Langridge, W. Rohde, M. Ali Rezaian, Ganesan Vadamalai, J. P. Morin, M. Stukely, Nuredin Habili, Jean‐Paul Morin and Jean‐Pierre Labouisse. Their work appears in journals such as Annals of Applied Biology, Plant Disease, Journal of General Virology, Virology and Archives of Virology.

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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