Jutta Will

750 citations
11 papers · 566 · h-index 8

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Protein Degradation and Inhibitors 1
    • Genomics, phytochemicals, and oxidative stress 1
    • T-cell and B-cell Immunology 1

Jutta Will

11 papers receiving 552 citations

Peers

Jutta Will
Comparison fields: 5 of 74
  • Biochemistry 99
  • Physiology 42
  • Oncology 192
  • Pediatrics, Perinatology and Child Health 61
  • Immunology 57
Replace Cérina Chhuon with:
Cérina Chhuon France
René J. Raggers Netherlands
Justin D. Walter United States
A. F. Borghetti Italy
Nathalie Schmid United States
L Harel France
David P. Richey United States
Kevin Roberg United States
Maria Cartenı́-Farina Italy
Ziyou Cui United States
Jutta Will relative to Cérina Chhuon France Cérina Chhuon's profile →
Citations per field
00.5×7.7×
Cérina Chhuon · 1×
Citations per year

Countries citing papers authored by Jutta Will

Since Specialization
Citations

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

Fields of papers citing papers by Jutta Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998234
2 1998119
3 200468
4 199850
5 199436
6 200626
7 200917
8 20029
9 20094
10
Konzeptentwicklung und Pilotierung eines Doktorandenkolloquiums in der Allgemeinmedizin
20122
11 20041

About Jutta Will

Jutta Will is a scholar working on Molecular Biology, Immunology, Oncology, Plant Science and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Photodynamic Therapy Research Studies (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Protein Degradation and Inhibitors (1 paper), T-cell and B-cell Immunology (1 paper), Plant Disease Resistance and Genetics (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Plant pathogens and resistance mechanisms (1 paper). The work is most often cited by research in Biochemistry (99 citations), Physiology (42 citations), Oncology (192 citations), Pediatrics, Perinatology and Child Health (61 citations) and Immunology (57 citations). Jutta Will has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Wolfgang Clauß, Frank Döring, Salah Amasheh, M. Boll, Hannelore Daniel, Justin D. Walter, Melanie Föcking, Hannelore Daniel, H. AHLBRECHT and Ulrich Mahlknecht. Their work appears in journals such as The Journal of Immunology, Experimental Dermatology, Biochemical and Biophysical Research Communications, Plant Breeding and Journal of Biological 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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