Daniel J. Czyzyk

410 citations
15 papers · 302 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Biochemical and Molecular Research 3
    • Protein Tyrosine Phosphatases 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Parasitic Infections and Diagnostics 4

Daniel J. Czyzyk

15 papers receiving 300 citations

Peers

Daniel J. Czyzyk
Comparison fields: 5 of 52
  • Endocrine and Autonomic Systems 88
  • Endocrinology, Diabetes and Metabolism 76
  • Endocrinology 20
  • Surgery 108
  • Parasitology 15
Replace C. Newton with:
C. Newton United States
Jennifer R. O’Hara Canada
Margaret McNally Australia
Inge Derad Germany
Vânia Brazão Brazil
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Steffen Helmling United States
Astrid Kleber Germany
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Daniel J. Czyzyk

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Czyzyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200894
2 201052
3 201149
4 201122
5 201717
6 202514
7 201314
8 201512
9 20198
10 20186
11 20194
12 20253
13 20193
14 20203
15 20131

About Daniel J. Czyzyk

Daniel J. Czyzyk is a scholar working on Molecular Biology, Parasitology, Genetics, Endocrinology and Organic Chemistry, having authored 15 papers that have together received 302 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (4 papers), RNA and protein synthesis mechanisms (4 papers), Escherichia coli research studies (3 papers), Biochemical and Molecular Research (3 papers), Bacterial Genetics and Biotechnology (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Protein Tyrosine Phosphatases (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (88 citations), Endocrinology, Diabetes and Metabolism (76 citations), Endocrinology (20 citations), Surgery (108 citations) and Parasitology (15 citations). Daniel J. Czyzyk has collaborated with scholars based in United States, Japan and Hungary. Frequent co-authors include Owen Chan, Wanling Zhu, Margretta R. Seashore, Robert S. Sherwin, Erika A. Taylor, Sachin Paranjape, Adam Horblitt, Raimund I. Herzog, Rory J. McCrimmon and Hai‐Ying Mary Cheng. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemistry, Diabetes, Nature Communications and European Journal of Medicinal 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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