Ryan J. Case

1.0k citations
24 papers · 877 · h-index 15

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

    • Parkinson's Disease Mechanisms and Treatments 5
    • Neurological disorders and treatments 4
    • Indigenous Knowledge Systems and Agriculture 2
    • Ethnobotanical and Medicinal Plants Studies 2

Ryan J. Case

23 papers receiving 818 citations

Peers

Ryan J. Case
Comparison fields: 5 of 100
  • Toxicology 41
  • Neurology 168
  • Pharmacology 89
  • Plant Science 276
  • Forestry 26
Replace C Gleye with:
C Gleye France
Pallavi Srivastava India
Pei-Lin Wu Taiwan
Maria de Fátima Dias Costa Brazil
Vaishali C Joshi United States
Melissa D. Carter United States
Eirini Kouloura Greece
Holly E. Johnson United States
Pilar Puebla Spain
Gerlânia de Oliveira Leite Brazil
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Citations per field
00.5×5×10×15.3×
C Gleye · 1×
Citations per year

Countries citing papers authored by Ryan J. Case

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Case. 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 Ryan J. Case. The network helps show where Ryan J. Case may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 2005120
3 201483
4 200566
5 202455
6 200654
7 202047
8 200547
9 200345
10 202144
11 202137
12 200533
13 202229
14 200728
15 200515
16 200714
17 20185
18 20255
19 20204
20 20212

About Ryan J. Case

Ryan J. Case is a scholar working on Neurology, Plant Science, Infectious Diseases, Pharmacology and Psychiatry and Mental health, having authored 24 papers that have together received 877 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (4 papers), Indigenous Knowledge Systems and Agriculture (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Autism Spectrum Disorder Research (2 papers), Ethnobotanical and Medicinal Plants Studies (2 papers), Natural product bioactivities and synthesis (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Toxicology (41 citations), Neurology (168 citations), Pharmacology (89 citations), Plant Science (276 citations) and Forestry (26 citations). Ryan J. Case has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Guido F. Pauli, DD Soejarto, Scott Gary Franzblau, Jun Won Chang, Sang‐Hyun Cho, Taichi Inui, Yuehong Wang, Nikolaus H. Fischer, Yuehong Wang and Liat Adar. Their work appears in journals such as Neurology, Planta Medica, Parkinsonism & Related Disorders, Economic Botany and The Lancet Neurology.

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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