Daniel R. Knapp

4.3k citations
122 papers · 3.5k indexed · 1 hit paper · h-index 34

Daniel R. Knapp

113 papers receiving 3.3k citations

Hit Papers

Handbook of Analytical Derivatization Reactions5001979202619942010100200300400500

Peers

Daniel R. Knapp
Comparison fields: 5 of 161
  • Spectroscopy 1.2k
  • Biochemistry 211
  • Analytical Chemistry 254
  • Cellular and Molecular Neuroscience 468
  • Pharmacology 419
Replace Masatoshi Yamaguchi with:
Masatoshi Yamaguchi Japan
Josef Pitha United States
Yosuke Ohkura Japan
Franco Tagliaro Italy
Hideyuki Yoshida Japan
Michael G. Bartlett United States
Xiuli Zhang China
George G. Guilbault United States
Hua Zhang China
John M. Halket United Kingdom
Daniel R. Knapp relative to Masatoshi Yamaguchi Japan Masatoshi Yamaguchi's profile →
Citations per field
00.5×1.5×
Masatoshi Yamaguchi · 1×
Citations per year

Countries citing papers authored by Daniel R. Knapp

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Knapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2
Practical Data Modeling With SAP NetWeaver BW
20091
3 200816
4 200869
5 200614
6 200511
7 200524
8 20048
9 20021
10 20022
11 200153
12 200136
13 19947
14 199423
15 199344
16 199397
17 199293
18 199115
19 1979100
20
Writing for real
19720

About Daniel R. Knapp

Daniel R. Knapp is a scholar working on Spectroscopy, Biochemistry and Cellular and Molecular Neuroscience, having authored 122 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (38 papers), Analytical Chemistry and Chromatography (23 papers), Photoreceptor and optogenetics research (17 papers), Microfluidic and Capillary Electrophoresis Applications (16 papers), Advanced Proteomics Techniques and Applications (14 papers), Receptor Mechanisms and Signaling (13 papers), Inflammatory mediators and NSAID effects (11 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). The work is most often cited by research in Spectroscopy (1.2k citations), Biochemistry (211 citations) and Analytical Chemistry (254 citations). Daniel R. Knapp has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Perry V. Halushka, Rosalie K. Crouch, Ranu Nayak, John E. Oatis, Damon I. Papac, Jinsung Kim, Kevin L. Schey, Kyung Won Ro, Dale E. Mais and A. K. Sen. Their work appears in journals such as Analytical Chemistry, Journal of Pharmacology and Experimental Therapeutics, Journal of the American Society for Mass Spectrometry, Biochemistry and Photochemistry and Photobiology.

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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