J. Lerchner

1.8k citations
65 papers · 1.5k · h-index 23

Impact in

Papers in

J. Lerchner

62 papers receiving 1.4k citations

Peers

J. Lerchner
Comparison fields: 5 of 117
  • Physical and Theoretical Chemistry 743
  • Bioengineering 152
  • Filtration and Separation 50
  • Molecular Medicine 56
  • Biomedical Engineering 378
Replace Jacek Gapiński with:
Jacek Gapiński Poland
Jan Forsman Sweden
M.H. Blees Netherlands
Nancy C. Stellwagen United States
Sameer Varma United States
Maximilian W. A. Skoda United Kingdom
Rio Kita‬ Japan
Thomas Gutberlet Germany
J.A De Feijter Netherlands
Maria Sammalkorpi Finland
J. Lerchner relative to Jacek Gapiński Poland Jacek Gapiński's profile →
Citations per field
00.5×5.1×
Jacek Gapiński · 1×
Citations per year

Countries citing papers authored by J. Lerchner

Since Specialization
Citations

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

Fields of papers citing papers by J. Lerchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998226
2 201378
3 200576
4 200166
5 199961
6 200859
7 200759
8 200555
9 200046
10 200845
11 200540
12 199637
13 200934
14 198033
15 200932
16 199632
17 201130
18 201429
19 200226
20 201425

About J. Lerchner

J. Lerchner is a scholar working on Physical and Theoretical Chemistry, Molecular Biology, Biomedical Engineering, Organic Chemistry and Statistical and Nonlinear Physics, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include thermodynamics and calorimetric analyses (43 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers), Viral gastroenteritis research and epidemiology (9 papers), Bacterial biofilms and quorum sensing (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Advanced Chemical Sensor Technologies (6 papers), Chemical Thermodynamics and Molecular Structure (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Physical and Theoretical Chemistry (743 citations), Bioengineering (152 citations), Filtration and Separation (50 citations), Molecular Medicine (56 citations) and Biomedical Engineering (378 citations). J. Lerchner has collaborated with scholars based in Germany, Spain and Brazil. Frequent co-authors include G. Wolf, Antje Wolf, Thomas Maskow, Florian Mertens, Hauke Harms, E. Keßler, Jürgen Seidel, Friederike Buchholz, V. Baier and Vicenç Torra. Their work appears in journals such as Thermochimica Acta, Journal of Thermal Analysis and Calorimetry, Sensors and Actuators B Chemical, Journal of Microbiological Methods 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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