Daniel Kacian

1.3k citations
23 papers · 1.1k · h-index 15

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • Molecular Biology Techniques and Applications

Papers in

    • RNA and protein synthesis mechanisms 5
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • DNA and Nucleic Acid Chemistry 3
    • Advanced biosensing and bioanalysis techniques 3
    • CRISPR and Genetic Engineering 3
    • RNA Research and Splicing 2

Daniel Kacian

23 papers receiving 889 citations

Peers

Daniel Kacian
Comparison fields: 5 of 88
  • Genetics 133
  • Molecular Biology 698
  • Virology 42
  • Endocrinology 47
  • Animal Science and Zoology 85
Replace Leonard J. Bello with:
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Daniel Kacian relative to Leonard J. Bello United States Leonard J. Bello's profile →
Citations per field
00.5×4.3×
Leonard J. Bello · 1×
Citations per year

Countries citing papers authored by Daniel Kacian

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kacian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971277
2 1972140
3 1976120
4 197395
5 197287
6 197760
7 197453
8 198751
9 197440
10 199036
11 197422
12 197121
13 197419
14 197417
15 197617
16 198010
17 19867
18 19747
19 20076
20 19854

About Daniel Kacian

Daniel Kacian is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Genetics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Bacteriophages and microbial interactions (3 papers), CRISPR and Genetic Engineering (3 papers), Folate and B Vitamins Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (133 citations), Molecular Biology (698 citations), Virology (42 citations), Endocrinology (47 citations) and Animal Science and Zoology (85 citations). Daniel Kacian has collaborated with scholars based in United States. Frequent co-authors include S. Spiegelman, Jeanne C. Myers, Arsène Burny, Kenneth F. Watson, P A Marks, A Bank, Lois W. Dow, D. R. Mills, Fred Russell Kramer and Salvatore Metafora. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry, Annals of the New York Academy of Sciences, Journal of Clinical Microbiology and Virology.

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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