Daniel Markl

2.5k citations
88 papers · 2.0k · h-index 26

Impact in

Papers in

Daniel Markl

81 papers receiving 1.9k citations

Peers

Daniel Markl
Comparison fields: 5 of 133
  • Pharmaceutical Science 650
  • Analytical Chemistry 334
  • Biophysics 144
  • Biomedical Engineering 670
  • Spectroscopy 230
Replace Jarkko Ketolainen with:
Jarkko Ketolainen Finland
Amrit Paudel Austria
Ossi Korhonen Finland
Hajnalka Pataki Hungary
Klaus Knop Germany
Osmo Antikainen Finland
Markus Thommes Germany
Brigitta Nagy Hungary
Rodolfo J. Romañach Puerto Rico
Colin D. Melia United Kingdom
Daniel Markl relative to Jarkko Ketolainen Finland Jarkko Ketolainen's profile →
Citations per field
00.5×3.1×
Jarkko Ketolainen · 1×
Citations per year

Countries citing papers authored by Daniel Markl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Markl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017299
2 2018118
3 201675
4 201675
5 201770
6 202065
7 201758
8 201755
9 202152
10 201749
11 201448
12 201445
13 202044
14 201541
15 201340
16 201839
17 202038
18 202037
19 201837
20 201735

About Daniel Markl

Daniel Markl is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Pharmaceutical Science, Analytical Chemistry and Spectroscopy, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Terahertz technology and applications (28 papers), Drug Solubulity and Delivery Systems (20 papers), Optical Coherence Tomography Applications (15 papers), Spectroscopy and Chemometric Analyses (12 papers), Acoustic Wave Resonator Technologies (10 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Spectroscopy and Laser Applications (8 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). The work is most often cited by research in Pharmaceutical Science (650 citations), Analytical Chemistry (334 citations), Biophysics (144 citations), Biomedical Engineering (670 citations) and Spectroscopy (230 citations). Daniel Markl has collaborated with scholars based in United Kingdom, Austria and Finland. Frequent co-authors include J. Axel Zeitler, Prince Bawuah, Johannes Khinast, Daniel Goodwin, Thomas Rades, Cathy J. Ridgway, Stephan Sacher, Hungyen Lin, Yaochun Shen and Michael Leitner. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences, International Journal of Pharmaceutics X, Chemical Engineering Science and Pharmaceutical Research.

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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