Jochen Kumm

3.0k citations
29 papers · 2.3k · h-index 15

Impact in

    • Reproductive tract infections research
    • Fungal and yeast genetics research
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis
    • RNA and protein synthesis mechanisms

Papers in

Jochen Kumm

26 papers receiving 2.3k citations

Peers

Jochen Kumm
Comparison fields: 5 of 146
  • Microbiology 159
  • Molecular Biology 1.3k
  • Genetics 470
  • Cultural Studies 150
  • Aging 24
Replace Muntaser E. Ibrahim with:
Muntaser E. Ibrahim Sudan
Robert M. MacCallum United Kingdom
Kay Nieselt Germany
Thomas Pradeu France
Joost B. Beltman Netherlands
Sabah A. Omar Kenya
Alon Keinan United States
Sabine Stoll Germany
Arlin Stoltzfus United States
Elaine A. Muchmore United States
Jochen Kumm relative to Muntaser E. Ibrahim Sudan Muntaser E. Ibrahim's profile →
Citations per field
00.5×8.8×
Muntaser E. Ibrahim · 1×
Citations per year

Countries citing papers authored by Jochen Kumm

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Kumm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005423
2 2004400
3 2004336
4 2005259
5 2005224
6 1996197
7 1995122
8 199571
9 200551
10 199443
11 200237
12 199735
13 200624
14 200623
15 199916
16 199911
17 202011
18 200411
19 20217
20 20225

About Jochen Kumm

Jochen Kumm is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology, Ophthalmology and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Retinopathy of Prematurity Studies (10 papers), Evolution and Genetic Dynamics (6 papers), Fungal and yeast genetics research (3 papers), Retinal Diseases and Treatments (3 papers), Bioinformatics and Genomic Networks (3 papers), Neonatal Respiratory Health Research (3 papers), Evolutionary Game Theory and Cooperation (3 papers) and Demographic Trends and Gender Preferences (2 papers). The work is most often cited by research in Microbiology (159 citations), Molecular Biology (1.3k citations), Genetics (470 citations), Cultural Studies (150 citations) and Aging (24 citations). Jochen Kumm has collaborated with scholars based in United States, Brazil and Iran. Frequent co-authors include Guri Giaever, Marcus W. Feldman, Ronald W. Davis, Hunter B. Fraser, Michael B. Eisen, Aaron E. Hirsh, Daniel F. Jaramillo, Corey Nislow, Michael Proctor and Kevin N. Laland. Their work appears in journals such as Scientific Reports, Theoretical Population Biology, Proceedings of the National Academy of Sciences, Ophthalmic surgery, lasers & imaging retina and Acta Ophthalmologica.

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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