J. Lerchner

1.8k citations
62 papers · 1.4k indexed · h-index 22

Impact in

Papers in

J. Lerchner

59 papers receiving 1.3k citations

Peers

J. Lerchner
Comparison fields: 5 of 117
  • Physical and Theoretical Chemistry 710
  • Bioengineering 137
  • Filtration and Separation 50
  • Molecular Medicine 55
  • Biomedical Engineering 332
Replace Jacek Gapiński with:
Jacek Gapiński Poland
Jan Forsman Sweden
M.H. Blees Netherlands
Sameer Varma United States
Maximilian W. A. Skoda United Kingdom
Nancy C. Stellwagen United States
Thomas Gutberlet Germany
Rio Kita‬ Japan
B. Tinland France
Johan R. C. van der Maarel Singapore
J. Lerchner relative to Jacek Gapiński Poland Jacek Gapiński's profile →
Citations per field
00.5×4.7×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998213
2 201376
3 200571
4 200163
5 199958
6 200758
7 200857
8 200552
9 200845
10 200539
11 200039
12 199636
13 198033
14 200929
15 200929
16 201128
17 199627
18 201427
19 200226
20 201424

About J. Lerchner

J. Lerchner is a scholar working on Physical and Theoretical Chemistry, Molecular Biology, Biomedical Engineering, Organic Chemistry and Infectious Diseases, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include thermodynamics and calorimetric analyses (42 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Chemical Thermodynamics and Molecular Structure (6 papers), Bacterial biofilms and quorum sensing (6 papers), Advanced Chemical Sensor Technologies (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Physical and Theoretical Chemistry (710 citations), Bioengineering (137 citations), Filtration and Separation (50 citations), Molecular Medicine (55 citations) and Biomedical Engineering (332 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, V. Baier, Vicenç Torra and Thomas R. Neu. 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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