Daniel F. Ortwine

4.7k citations
64 papers · 2.6k indexed · h-index 29
Topics
Computational Drug Discovery Methods (10 papers)Quinazolinone synthesis and applications (8 papers)Synthesis and Biological Evaluation (7 papers)

In The Last Decade

Daniel F. Ortwine

64 papers receiving 2.5k citations

Peers

Daniel F. Ortwine
Comparison fields: 5 of 117
  • Molecular Biology 1.3k
  • Organic Chemistry 1.1k
  • Oncology 516
  • Cancer Research 345
  • Computational Theory and Mathematics 293
Replace Patrick A. Marcotte with:
Patrick A. Marcotte United States
Joseph M. Salvino United States
Adriano Martinelli Italy
Takayoshi Kinoshita Japan
Julian Blagg United Kingdom
Chuan Shih United States
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Jeffrey C. Boehm United States
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Daniel F. Ortwine relative to Patrick A. Marcotte United States Patrick A. Marcotte's profile →
Citations per field
00.5×2.6×
Patrick A. Marcotte · 1×
Citations per year

Countries citing papers authored by Daniel F. Ortwine

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Ortwine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Ortwine. 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 F. Ortwine. The network helps show where Daniel F. Ortwine may publish in the future.

Co-authorship network of co-authors of Daniel F. Ortwine

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Ortwine. A scholar is included among the top collaborators of Daniel F. Ortwine 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 F. Ortwine. Daniel F. Ortwine 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 17
2 37
3 5
4 14
5 23
6 13
7 26
8 37
9 338
10 28
11 74
12 12
13 12
14 50
15 45
16 45
17 49
18 151
19 83
20 25

About Daniel F. Ortwine

Daniel F. Ortwine is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Toxicology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Quinazolinone synthesis and applications (8 papers) and Synthesis and Biological Evaluation (7 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Physiology (108 citations) and Cancer Research (345 citations). Daniel F. Ortwine has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include A.G. Pavlovsky, Bruce D. Roth, Drago R. Sliskovic, Elizabeth A. Lunney, Christopher F. Bigge, Leslie M. Werbel, Donald Hupe, Richard D. Dyer, Peter A. Boxer and Roger S. Newton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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