Bianca Naumann

932 citations
10 papers · 735 · h-index 9

Impact in

Papers in

Bianca Naumann

10 papers receiving 719 citations

Peers

Bianca Naumann
Comparison fields: 5 of 77
  • Renewable Energy, Sustainability and the Environment 274
  • Industrial and Manufacturing Engineering 78
  • Molecular Biology 484
  • Pollution 76
  • Oceanography 70
Replace M. TERASHIMA with:
M. TERASHIMA Japan
Ayumi Minoda Japan
Dmitrii V. Vavilin United States
Manuel Losada Spain
Ottó Zsíros Hungary
Catalina Lara Spain
Madeli Castruita United States
Valeria Villanova Italy
Gábor Bernát Hungary
Péter B. Kós Hungary
Bianca Naumann relative to M. TERASHIMA Japan M. TERASHIMA's profile →
Citations per field
00.5×2.9×
M. TERASHIMA · 1×
Citations per year

Countries citing papers authored by Bianca Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2007155
2 2007144
3 2010135
4 2005111
5 200851
6 200647
7 200932
8 200732
9 200620
10 20108

About Bianca Naumann

Bianca Naumann is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Spectroscopy, Cellular and Molecular Neuroscience and Pollution, having authored 10 papers that have together received 735 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (5 papers), Algal biology and biofuel production (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Mitochondrial Function and Pathology (2 papers), Machine Learning in Bioinformatics (1 paper), Biochemical and Molecular Research (1 paper), Physiological and biochemical adaptations (1 paper) and Microbial metabolism and enzyme function (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (274 citations), Industrial and Manufacturing Engineering (78 citations), Molecular Biology (484 citations), Pollution (76 citations) and Oceanography (70 citations). Bianca Naumann has collaborated with scholars based in Germany, United States and Kazakhstan. Frequent co-authors include Michael Hippler, Andreas Büsch, Klaus‐J. Appenroth, M. TERASHIMA, Michael Specht, Jens Allmer, Einar J. Stauber, Frederik Sommer, Helmut Kirchhoff and Martin Zeller. Their work appears in journals such as PROTEOMICS, Molecular & Cellular Proteomics, The Plant Journal, Journal of Bacteriology and Journal of Plant Physiology.

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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