B Bejcek

41 papers receiving 712 citations

Peers

B Bejcek
Comparison fields: 5 of 100
  • Bioengineering 46
  • Cancer Research 98
  • Hematology 59
  • Electrochemistry 30
  • Molecular Biology 323
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Walter D. Niles United States
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Citations per field
00.5×3.3×
Walter D. Niles · 1×
Citations per year

Countries citing papers authored by B Bejcek

Since Specialization
Citations

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

Fields of papers citing papers by B Bejcek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989146
2
Assay Guidance Manual
200493
3 200549
4 201047
5 200744
6 200642
7 200640
8 198938
9 199233
10 200828
11
Development and characterization of three recombinant single chain antibody fragments (scFvs) directed against the CD19 antigen.
199521
12
Genome Editing Using Engineered Nucleases and Their Use in Genomic Screening
201714
13 199313
14 200210
15 198610
16
Assay Development Guidelines for Image-Based High Content Screening, High Content Analysis and High Content Imaging -- Assay Guidance Manual
200410
17
Basics of Enzymatic Assays for HTS -- Assay Guidance Manual
20049
18 20049
19
In vitro 3D Spheroids and Microtissues: ATP-based Cell Viability and Toxicity Assays -- Assay Guidance Manual
20047
20 20097

About B Bejcek

B Bejcek is a scholar working on Molecular Biology, Hematology, Cancer Research, Biophysics and Immunology, having authored 43 papers that have together received 730 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Electrochemical sensors and biosensors (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Electrochemical Analysis and Applications (3 papers), Mechanical and Optical Resonators (3 papers), Carbon Nanotubes in Composites (3 papers), Platelet Disorders and Treatments (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Bioengineering (46 citations), Cancer Research (98 citations), Hematology (59 citations), Electrochemistry (30 citations) and Molecular Biology (323 citations). B Bejcek has collaborated with scholars based in United States, Saudi Arabia and Italy. Frequent co-authors include Thomas F. Deuel, Massood Z. Atashbar, Dean Y. Li, Srikanth Singamaneni, Binu B. Narakathu, Takeshi Shimamura, Denise L. Smith, S. Santucci, Owen B. McManus and Marcie A. Glicksman. Their work appears in journals such as Experimental Cell Research, Natural Product Communications, Sensors and Actuators B Chemical, Biosensors and Bioelectronics and BioTechniques.

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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