Manuel Stemmer

9 papers receiving 845 citations

Manuel Stemmer's Hit Papers

CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool 2015 · 709 citations
7090+3+7Years since publication200400600

Peers

Manuel Stemmer
Comparison fields: 5 of 82
  • Aging 42
  • Business and International Management 46
  • Molecular Biology 700
  • Genetics 142
  • Cell Biology 83
Replace Timothy J. Dahlem with:
Timothy J. Dahlem United States
Juan Pablo Fernández United States
Emily K. Mis United States
Jarryd M. Campbell United States
Karine Duroure France
Tanya L. Poshusta United States
Randall G. Krug United States
Renjie Jiao China
André Choulika France
Manuel Stemmer relative to Timothy J. Dahlem United States Timothy J. Dahlem's profile →
Citations per field
00.5×3.8×
Timothy J. Dahlem · 1×
Citations per year

Countries citing papers authored by Manuel Stemmer

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Stemmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool
Hit paper breakdown →
2015709
2 202063
3 201533
4 202120
5 202510
6 20179
7 20214
8 20134
9 20153
10 20250
11 20240

About Manuel Stemmer

Manuel Stemmer is a scholar working on Molecular Biology, Nature and Landscape Conservation, Global and Planetary Change, Aquatic Science and Ecology, Evolution, Behavior and Systematics, having authored 11 papers that have together received 855 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Amphibian and Reptile Biology (2 papers), Fish Biology and Ecology Studies (2 papers), Fish Ecology and Management Studies (2 papers), Animal Behavior and Reproduction (2 papers), Retinal Development and Disorders (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Aging (42 citations), Business and International Management (46 citations), Molecular Biology (700 citations), Genetics (142 citations) and Cell Biology (83 citations). Manuel Stemmer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Joachim Wittbrodt, Thomas Thumberger, Juan L. Mateo, Cristiano Bertolucci, Nicholas S. Foulkes, Eva Laurell, Herwig Baier, Karthik Shekhar, Joshua R. Sanes and Thomas O. Helmbrecht. Their work appears in journals such as eLife, BMC Biology, BMC Genomics, International Journal of Speleology and Nature Communications.

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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