Nadja Hellmann

1.5k citations
69 papers · 1.2k indexed · h-index 20

Impact in

  • Immunology top 10%
    • Invertebrate Immune Response Mechanisms
    • Aquaculture disease management and microbiota
    • Hemoglobin structure and function

Papers in

Nadja Hellmann

67 papers receiving 1.2k citations

Peers

Nadja Hellmann
Comparison fields: 5 of 110
  • Immunology 305
  • Cell Biology 217
  • Cellular and Molecular Neuroscience 172
  • Microbiology 54
  • Molecular Biology 568
Replace Naoki Fujitani with:
Naoki Fujitani Japan
Pedro José Barbosa Pereira Portugal
Mario Lebendiker Israel
Sylvie Kieffer‐Jaquinod France
David Morgenstern Israel
B.D. Hames United Kingdom
Annette Siebers Germany
Balaji Prakash India
Erwann Loret France
Gang Yu China
Nadja Hellmann relative to Naoki Fujitani Japan Naoki Fujitani's profile →
Citations per field
00.5×1.5×1.8×
Naoki Fujitani · 1×
Citations per year

Countries citing papers authored by Nadja Hellmann

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Hellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 202024
4 202011
5 20194
6 201952
7 201729
8 201720
9 201514
10 20137
11 201328
12 20114
13 201021
14 201029
15 200712
16 20046
17 20036
18 20038
19 20038
20 199819

About Nadja Hellmann

Nadja Hellmann is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Immunology, Ecology and Molecular Biology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hemoglobin structure and function (19 papers), Invertebrate Immune Response Mechanisms (14 papers), Physiological and biochemical adaptations (12 papers), Lipid Membrane Structure and Behavior (11 papers), Protein Structure and Dynamics (10 papers), Photosynthetic Processes and Mechanisms (10 papers), Neurobiology and Insect Physiology Research (9 papers) and Erythrocyte Function and Pathophysiology (8 papers). The work is most often cited by research in Immunology (305 citations), Cell Biology (217 citations), Cellular and Molecular Neuroscience (172 citations), Microbiology (54 citations) and Molecular Biology (568 citations). Nadja Hellmann has collaborated with scholars based in Germany, Italy and Denmark. Frequent co-authors include Heinz Decker, Dirk Schneider, Elmar Jaenicke, Ulrich Meissner, Jürgen Markl, Matthias Husmann, Michael A. Menze, Fatima Boukhallouk, Manfred K. Grieshaber and Qianqian Qin. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Biochemistry, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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