Jennifer W. Sekowski

521 total citations
18 papers, 409 citations indexed

About

Jennifer W. Sekowski is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Jennifer W. Sekowski has authored 18 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Spectroscopy. Recurrent topics in Jennifer W. Sekowski's work include Mass Spectrometry Techniques and Applications (4 papers), Biosensors and Analytical Detection (4 papers) and DNA Repair Mechanisms (3 papers). Jennifer W. Sekowski is often cited by papers focused on Mass Spectrometry Techniques and Applications (4 papers), Biosensors and Analytical Detection (4 papers) and DNA Repair Mechanisms (3 papers). Jennifer W. Sekowski collaborates with scholars based in United States, India and United Kingdom. Jennifer W. Sekowski's co-authors include Linda H. Malkas, Robert J. Hickey, Lauren A. Schnaper, Jennifer M. Coll, Daniel J. Angelini, Edward Sisco, Chi‐Fang Wu, Brian J. Long, Paula M. Vertino and James J. Valdés and has published in prestigious journals such as PLoS ONE, Biosensors and Bioelectronics and Toxicology and Applied Pharmacology.

In The Last Decade

Jennifer W. Sekowski

18 papers receiving 398 citations

Peers

Jennifer W. Sekowski
Comparison fields: 5 of 76
  • Molecular Biology 245
  • Spectroscopy 93
  • Biomedical Engineering 65
  • Materials Chemistry 47
  • Oncology 39
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Citations per field, relative to Jennifer W. Sekowski
Jennifer W. Sekowski · 1×
Citations per year, relative to Jennifer W. Sekowski
Jennifer W. Sekowski · 1×

Countries citing papers authored by Jennifer W. Sekowski

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer W. Sekowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer W. Sekowski. 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 Jennifer W. Sekowski. The network helps show where Jennifer W. Sekowski may publish in the future.

Co-authorship network of co-authors of Jennifer W. Sekowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer W. Sekowski. A scholar is included among the top collaborators of Jennifer W. Sekowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer W. Sekowski. Jennifer W. Sekowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 8
2 2
3 17
4 19
5 37
6 12
7 5
8 13
9 14
10 20
11
A Pyrophosphate Based Energy Generating Module
1
12
Meeting Threat Detection Needs For The Army: Using Conjugated Polymers To Improve Diagnostics
1
13 31
14 53
15
Human breast cancer cells contain an error-prone DNA replication apparatus.
29
16
A unique form of proliferating cell nuclear antigen is present in malignant breast cells.
32
17 75
18
The human breast cell DNA synthesome: its purification from tumor tissue and cell culture.
40

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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