Manuel Kaulich

3.4k citations
45 papers · 2.1k indexed · h-index 22

Impact in

    • Microtubule and mitosis dynamics
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • DNA Repair Mechanisms

Papers in

Manuel Kaulich

43 papers receiving 2.0k citations

Peers

Manuel Kaulich
Comparison fields: 5 of 106
  • Cell Biology 455
  • Molecular Biology 1.6k
  • Cancer Research 221
  • Oncology 382
  • Aging 24
Replace Gary Kleiger with:
Gary Kleiger United States
Andrew P. VanDemark United States
Samuel G. Katz United States
Christopher Berndsen United States
Mikhail A. Nikiforov United States
David E. Solow-Cordero United States
Philippe Soubeyran France
Vesela Encheva United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Manuel Kaulich

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Kaulich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20235
3 20238
4 202332
5 202241
6 202132
7 202111
8 202111
9 202118
10 202022
11 20206
12 202084
13 201844
14 2017138
15 201712
16 2017108
17 201527
18 2014161
19 201233
20 201164

About Manuel Kaulich

Manuel Kaulich is a scholar working on Aging, Cell Biology, Molecular Biology, Epidemiology and Oncology, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Autophagy in Disease and Therapy (9 papers), Ubiquitin and proteasome pathways (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (5 papers), Mitochondrial Function and Pathology (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cell Biology (455 citations), Molecular Biology (1.6k citations), Cancer Research (221 citations), Oncology (382 citations) and Aging (24 citations). Manuel Kaulich has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Steven F. Dowdy, Gary S. Shapiro, Yoon Jong Choi, Piotr Siciński, Anil Narasimha, Peter Lönn, Xian-Shu Cui, Alexander Hamil, Khirud Gogoi and Erich A. Nigg. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, eLife, Nature Communications and Cell Death and Disease.

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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