Daniel Custar

521 citations
11 papers · 431 · h-index 8

Impact in

    • Marine Sponges and Natural Products
    • Synthetic Organic Chemistry Methods
    • Asymmetric Synthesis and Catalysis
    • Catalytic C–H Functionalization Methods

Papers in

    • Synthetic Organic Chemistry Methods 6
    • Asymmetric Synthesis and Catalysis 4
    • Synthesis and Biological Evaluation 2
    • Angiogenesis and VEGF in Cancer 2

Daniel Custar

10 papers receiving 425 citations

Peers

Daniel Custar
Comparison fields: 5 of 46
  • Biotechnology 110
  • Organic Chemistry 317
  • Pharmacology 91
  • Cell Biology 56
  • Environmental Chemistry 32
Replace Juan R. Del Valle with:
Juan R. Del Valle United States
Xibin Liao United States
Yam B. Poudel United States
R. Michael Corbett United States
Hiromi Oshiumi Japan
Giuseppe Cecere Italy
John A. DeMattei United States
Grier A. Wallace United States
Jayaram K. Srirangam United States
Sven Weiler United States
Daniel Custar relative to Juan R. Del Valle United States Juan R. Del Valle's profile →
Citations per field
00.5×2.9×
Juan R. Del Valle · 1×
Citations per year

Countries citing papers authored by Daniel Custar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Custar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2007121
2 201689
3 200981
4 200548
5 201133
6 201031
7 201918
8 20117
9 20242
10 20181
11 20240

About Daniel Custar

Daniel Custar is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 431 indexed citations. Recurring topics across this work include Synthetic Organic Chemistry Methods (6 papers), Asymmetric Synthesis and Catalysis (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Synthesis and Biological Evaluation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Marine Sponges and Natural Products (2 papers). The work is most often cited by research in Biotechnology (110 citations), Organic Chemistry (317 citations), Pharmacology (91 citations), Cell Biology (56 citations) and Environmental Chemistry (32 citations). Daniel Custar has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Karl A. Scheidt, T. P. Zabawa, William Morris, Craig M. Crews, John Hines, James P. Morken, Eugene A. Katrukha, Kai Jiang, Hui Xiao and Chia‐Ping Huang Yang. Their work appears in journals such as Journal of the American Chemical Society, Organic Letters, Molecular Cancer Therapeutics, Current Biology and Cancer Research.

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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