Inge Perschil

2.0k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 11

Inge Perschil

15 papers receiving 1.5k citations

Hit Papers

The proteome of Saccharomyces cerevisiae mitochondria7082003202620102018200400600

Peers

Inge Perschil
Comparison fields: 5 of 98
  • Clinical Biochemistry 289
  • Molecular Biology 1.4k
  • Aging 20
  • Cell Biology 110
  • Biochemistry 39
Replace Mark T. McCammon with:
Mark T. McCammon United States
Sakae Kitada Japan
Hans van der Spek Netherlands
Monique Bolotin‐Fukuhara France
Eva Schäfer Germany
Patrick Paumard France
Margarida Duarte Portugal
Igor A. Krasheninnikov Russia
Michiel Meijer Germany
Dean J. Naylor Australia
Inge Perschil relative to Mark T. McCammon United States Mark T. McCammon's profile →
Citations per field
00.5×4.9×
Mark T. McCammon · 1×
Citations per year

Countries citing papers authored by Inge Perschil

Since Specialization
Citations

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

Fields of papers citing papers by Inge Perschil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20245
2 202222
3 202031
4 2015120
5 2012103
6 201035
7 2007114
8 2007145
9 200592
10
The proteome of Saccharomyces cerevisiae mitochondriabreakdown →
2003708
11 199915
12
[Detection of Bartonella (Rochalimaea) henselae/B. quintana by polymerase chain reaction (PCR)].
19969
13 19962
14 19967
15 1995154

About Inge Perschil

Inge Perschil is a scholar working on Virology, Molecular Biology, Parasitology, Clinical Biochemistry and Spectroscopy, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (8 papers), RNA modifications and cancer (3 papers), Molecular Biology Techniques and Applications (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Bartonella species infections research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Clinical Biochemistry (289 citations), Molecular Biology (1.4k citations), Aging (20 citations), Cell Biology (110 citations) and Biochemistry (39 citations). Inge Perschil has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Nikolaus Pfanner, Peter Rehling, Bernard Guiard, Helmut E. Meyer, Agnieszka Chacińska, Martin van der Laan, Chris Meisinger, Albert Sickmann, Birgit Schönfisch and Cornelia Joppich. Their work appears in journals such as Molecular Biology of the Cell, Journal of Microbiological Methods, Cell Metabolism, BMC Biology and The EMBO Journal.

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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