Daniel A. S. Kitagawa

408 citations
15 papers · 308 indexed · h-index 8
Topics
Pesticide Exposure and Toxicity (12 papers)Cholinesterase and Neurodegenerative Diseases (11 papers)Computational Drug Discovery Methods (7 papers)
Partner nations
BrazilCzechiaCanada

In The Last Decade

Daniel A. S. Kitagawa

13 papers receiving 307 citations

Peers

Daniel A. S. Kitagawa
Comparison fields: 5 of 62
  • Plant Science 131
  • Molecular Biology 117
  • Pharmacology 97
  • Organic Chemistry 72
  • Spectroscopy 62
Replace Erik C. Ralph with:
Erik C. Ralph United States
Melissa S. Caetano Brazil
Martin R. Jefson United States
R. D. Schmid Germany
Claire N. Lieske United States
T. Ohshima Japan
Marta Kučerová-Chlupáčová Czechia
H. L. Boter Netherlands
Elżbieta Brzezińska Poland
Daniel A. S. Kitagawa relative to Erik C. Ralph United States Erik C. Ralph's profile →
Citations per field
00.5×4.8×
Erik C. Ralph · 1×
Citations per year

Countries citing papers authored by Daniel A. S. Kitagawa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. S. Kitagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. S. Kitagawa. 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 Daniel A. S. Kitagawa. The network helps show where Daniel A. S. Kitagawa may publish in the future.

Co-authorship network of co-authors of Daniel A. S. Kitagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. S. Kitagawa. A scholar is included among the top collaborators of Daniel A. S. Kitagawa 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 Daniel A. S. Kitagawa. Daniel A. S. Kitagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 3
5 16
6 6
7 16
8 11
9 15
10 12
11 108
12 8
13 3
14 7
15 99

About Daniel A. S. Kitagawa

Daniel A. S. Kitagawa is a scholar working on Pharmacology, Computational Theory and Mathematics and Plant Science, having authored 15 papers that have together received 308 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (12 papers), Cholinesterase and Neurodegenerative Diseases (11 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Pharmacology (97 citations), Spectroscopy (62 citations) and Plant Science (131 citations). Daniel A. S. Kitagawa has collaborated with scholars based in Brazil, Czechia and Canada. Frequent co-authors include Tanos C. C. França, Kamil Kuča, Eugenie Nepovimová, Yifan Huang, Yehia Mechref, Xue Dong, Shiyue Zhou, Wenjing Peng, Adélia J. A. Aquino and Lucas Veillon. Their work appears in journals such as Analytical Chemistry, International Journal of Molecular Sciences and Chemico-Biological Interactions.

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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