C.T. Peng

421 citations
32 papers · 315 · h-index 11

Impact in

Papers in

C.T. Peng

31 papers receiving 290 citations

Peers

C.T. Peng
Comparison fields: 5 of 83
  • Spectroscopy 167
  • Pharmaceutical Science 41
  • Computational Theory and Mathematics 65
  • Organic Chemistry 93
  • Filtration and Separation 6
Replace Shabbir T. Anik with:
Shabbir T. Anik United States
J. Mostecký India
Colin J. Salter United Kingdom
Michael Chlenov United States
Péter Slégel Hungary
Karl F. Blom United States
Karen A. Dehring United States
Frederick J. Antosz United States
J. M. Vandenbelt United States
M. Szögyi Hungary
C.T. Peng relative to Shabbir T. Anik United States Shabbir T. Anik's profile →
Citations per field
00.5×4.5×
Shabbir T. Anik · 1×
Citations per year

Countries citing papers authored by C.T. Peng

Since Specialization
Citations

This map shows the geographic impact of C.T. Peng'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 C.T. Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.T. Peng more than expected).

Fields of papers citing papers by C.T. Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.T. Peng. 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 C.T. Peng. The network helps show where C.T. Peng may publish in the future.

Co-authors

The 17 scholars most cited alongside C.T. Peng, 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 C.T. Peng Line = papers co-authored together C.T. Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198848
2 199140
3 200035
4 198420
5 199418
6 201013
7 196213
8 198212
9 199212
10 198510
11 199110
12 196410
13 19599
14 19668
15 19887
16 20246
17 19825
18 19795
19 19815
20 19635

About C.T. Peng

C.T. Peng is a scholar working on Spectroscopy, Pharmaceutical Science, Biomedical Engineering, Organic Chemistry and Molecular Biology, having authored 32 papers that have together received 315 indexed citations. Recurring topics across this work include Chemical Reactions and Isotopes (11 papers), Analytical Chemistry and Chromatography (10 papers), Advanced Chemical Sensor Technologies (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Synthesis and Biological Evaluation (6 papers), Radioactive contamination and transfer (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Spectroscopy (167 citations), Pharmaceutical Science (41 citations), Computational Theory and Mathematics (65 citations), Organic Chemistry (93 citations) and Filtration and Separation (6 citations). C.T. Peng has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Shiyuan Ding, Rongrong Hua, O. Buchman, Gerold M. Grodsky, Gaozhong Cao, David Maltby, B. E. Gordon, Richard M. Lemmon, John V. Carbone and R. Fanska. Their work appears in journals such as Journal of Chromatography A, Journal of Radioanalytical and Nuclear Chemistry, Journal of Pharmaceutical Sciences, Experimental Biology and Medicine and American Journal of Physiology-Legacy Content.

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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