Natilie Hosea

2.5k citations
21 papers · 1.5k indexed · h-index 16
Topics
Pharmacogenetics and Drug Metabolism (10 papers)Computational Drug Discovery Methods (7 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)

In The Last Decade

Natilie Hosea

21 papers receiving 1.5k citations

Peers

Natilie Hosea
Comparison fields: 5 of 102
  • Pharmacology 549
  • Oncology 487
  • Molecular Biology 439
  • Pharmacology 414
  • Computational Theory and Mathematics 265
Replace S. W. Ellis with:
S. W. Ellis United Kingdom
Ute M. Kent United States
Stephen E. Clarke United Kingdom
L. P. C. Delbressine Netherlands
Regina W. Wang United States
Michael D. Aleo United States
R. Foti United States
Maria Almira Correia United States
Bill J. Smith United States
Yoshiyasu Yabusaki Japan
Natilie Hosea relative to S. W. Ellis United Kingdom S. W. Ellis's profile →
Citations per field
00.5×1.5×2.4×
S. W. Ellis · 1×
Citations per year

Countries citing papers authored by Natilie Hosea

Since Specialization
Citations

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

Fields of papers citing papers by Natilie Hosea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natilie Hosea

This figure shows the co-authorship network connecting the top 25 collaborators of Natilie Hosea. A scholar is included among the top collaborators of Natilie Hosea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natilie Hosea. Natilie Hosea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 11
4 79
5 3
6 10
7 158
8 35
9 205
10 47
11 129
12 136
13 49
14 201
15 20
16 32
17 80
18 60
19 83
20 87

About Natilie Hosea

Natilie Hosea is a scholar working on Pharmacology, Computational Theory and Mathematics and Pharmacology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Computational Drug Discovery Methods (7 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Pharmacology (549 citations), Pharmacology (414 citations) and Oncology (487 citations). Natilie Hosea has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include F. Peter Guengerich, Palmer Taylor, Harvey Alan Berman, Grover P. Miller, Zoran Radić, Bill J. Smith, Megan Gibbs, Hannah M. Jones, Susan Cole and Wendy T. Collard. Their work appears in journals such as Journal of Clinical Oncology, Biochemistry and Journal of Pharmacology and Experimental Therapeutics.

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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