Daniel Appel

1.2k citations
32 papers · 1.1k · h-index 20

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 9
    • Enzyme Catalysis and Immobilization 6
    • Peptidase Inhibition and Analysis 5
    • Drug Transport and Resistance Mechanisms 2

Daniel Appel

31 papers receiving 1.0k citations

Peers

Daniel Appel
Comparison fields: 5 of 110
  • Pharmacology 148
  • Animal Science and Zoology 105
  • Insect Science 111
  • Molecular Biology 533
  • Food Science 143
Replace Luiz Cláudio Cameron with:
Luiz Cláudio Cameron Brazil
Che‐Yi Chao Taiwan
Silva Dobrić Serbia
P. Jenner United States
Paul Daenens Belgium
Mei Lü United States
John K. Lodge United Kingdom
Toshiyuki Fukuda Japan
Iwona Jarocka-Karpowicz Poland
Hong‐Mei Jia China
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Citations per field
00.5×3.4×
Luiz Cláudio Cameron · 1×
Citations per year

Countries citing papers authored by Daniel Appel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Appel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Appel, 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 Appel Line = papers co-authored together Daniel Appel 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 2015178
2 2001126
3 200683
4 200077
5 201367
6 202160
7 200751
8 200547
9 201538
10 201530
11 201530
12 201429
13 198629
14 202027
15 201322
16 201521
17 201821
18 201621
19 200720
20 201720

About Daniel Appel

Daniel Appel is a scholar working on Molecular Biology, Oncology, Computational Mechanics, Biotechnology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (9 papers), Enzyme Catalysis and Immobilization (6 papers), Peptidase Inhibition and Analysis (5 papers), Enzyme Production and Characterization (4 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Wind and Air Flow Studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Lattice Boltzmann Simulation Studies (2 papers). The work is most often cited by research in Pharmacology (148 citations), Animal Science and Zoology (105 citations), Insect Science (111 citations), Molecular Biology (533 citations) and Food Science (143 citations). Daniel Appel has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Lutz Fischer, Michael Merz, Rolf D. Schmid, Swen Rabe, Ulrich Schwaneberg, Timo Stressler, Imre Blank, Thomas Eisele, Rainer H. Böger and Edzard Schwedhelm. Their work appears in journals such as European Food Research and Technology, Journal of Agricultural and Food Chemistry, Journal of Molecular Catalysis B Enzymatic, Journal of Biotechnology and Analytical and Bioanalytical Chemistry.

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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