Daniel B. Kassel

3.4k citations
59 papers · 2.6k indexed · h-index 30

Impact in

Papers in

Daniel B. Kassel

59 papers receiving 2.4k citations

Peers

Daniel B. Kassel
Comparison fields: 5 of 111
  • Spectroscopy 822
  • Endocrinology, Diabetes and Metabolism 400
  • Oncology 512
  • Analytical Chemistry 177
  • Molecular Biology 1.2k
Replace Dirk Tourwé with:
Dirk Tourwé Belgium
Robert T. Gampe United States
Aberra Fura United States
Alberto Del Río Italy
Julian Blagg United Kingdom
Francis Bitsch Switzerland
Yuzhong Deng United States
Zoe Hall United Kingdom
Aaron B. Miller United States
Duane A. Burnett United Kingdom
Daniel B. Kassel relative to Dirk Tourwé Belgium Dirk Tourwé's profile →
Citations per field
00.5×3.9×
Dirk Tourwé · 1×
Citations per year

Countries citing papers authored by Daniel B. Kassel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Kassel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20137
2 201129
3 201029
4 200810
5 200648
6 20033
7 2003193
8 200231
9 200135
10 199727
11 199552
12 1995160
13 199521
14 19954
15
The effects of the protein phosphatase inhibitors microcystin and calyculin A differ in hepatocytes and hepatic endothelial cells
19941
16 199122
17 199119
18 199031
19 19896
20 19883

About Daniel B. Kassel

Daniel B. Kassel is a scholar working on Spectroscopy, Analytical Chemistry, Pharmacology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (26 papers), Mass Spectrometry Techniques and Applications (23 papers), Chemical Synthesis and Analysis (8 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Peptidase Inhibition and Analysis (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). The work is most often cited by research in Spectroscopy (822 citations), Endocrinology, Diabetes and Metabolism (400 citations), Oncology (512 citations), Analytical Chemistry (177 citations) and Molecular Biology (1.2k citations). Daniel B. Kassel has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Rongda Xu, Lu Zeng, Kheng B. Lim, Lihong Shi, Wilson B. Knight, S. Barker, Tomoko Asakawa, Koji Takeuchi, Zhiyuan Zhang and R.J. Skene. Their work appears in journals such as Analytical Chemistry, Rapid Communications in Mass Spectrometry, Biochemistry, Journal of Mass Spectrometry and Combinatorial Chemistry & High Throughput Screening.

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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