Eric A. Kitas

1.5k citations
37 papers · 1.3k · h-index 23

Impact in

    • Chemical Synthesis and Analysis
    • Protein Tyrosine Phosphatases
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Glycosylation and Glycoproteins Research
    • Protein Kinase Regulation and GTPase Signaling
  • Microbiology top 10%

Papers in

    • Chemical Synthesis and Analysis 10
    • RNA Interference and Gene Delivery 7
    • Protein Tyrosine Phosphatases 5
    • Advanced biosensing and bioanalysis techniques 5
    • Lipid Membrane Structure and Behavior 4
    • RNA and protein synthesis mechanisms 4
    • Carbohydrate Chemistry and Synthesis 6
    • Organophosphorus compounds synthesis 4

Eric A. Kitas

36 papers receiving 1.2k citations

Peers

Eric A. Kitas
Comparison fields: 5 of 85
  • Molecular Biology 1.0k
  • Microbiology 71
  • Behavioral Neuroscience 33
  • Organic Chemistry 263
  • Immunology 170
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Citations per field
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Citations per year

Countries citing papers authored by Eric A. Kitas

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Kitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Kitas. 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 Eric A. Kitas. The network helps show where Eric A. Kitas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005181
2 1991107
3 199293
4 199366
5 199165
6 199764
7 199259
8 198948
9 199546
10 199740
11 201539
12 201536
13 200734
14 200433
15 199033
16 200830
17 199129
18 200328
19 201728
20 198827

About Eric A. Kitas

Eric A. Kitas is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Pharmacology and Spectroscopy, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (10 papers), RNA Interference and Gene Delivery (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Protein Tyrosine Phosphatases (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Lipid Membrane Structure and Behavior (4 papers), Organophosphorus compounds synthesis (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Microbiology (71 citations), Behavioral Neuroscience (33 citations), Organic Chemistry (263 citations) and Immunology (170 citations). Eric A. Kitas has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Willi Bannwarth, Joachim Seelig, Elisabete Gonçalves, Hyeongjin Cho, Christopher T. Walsh, R.B. Johns, John W. Perich, Geoffrey W. Tregear, Reinhard Knorr and Arnold Trzeciak. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemistry, Tetrahedron Letters, Helvetica Chimica Acta and Protein Science.

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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