Nadja Hellmann

1.5k citations
72 papers · 1.2k · h-index 20

Impact in

  • Immunology top 10%
    • Invertebrate Immune Response Mechanisms
    • Hemoglobin structure and function
    • Cellular transport and secretion

Papers in

    • Lipid Membrane Structure and Behavior 11
    • Protein Structure and Dynamics 10
    • Photosynthetic Processes and Mechanisms 10
    • Hemoglobin structure and function 18

Nadja Hellmann

68 papers receiving 1.2k citations

Peers

Nadja Hellmann
Comparison fields: 5 of 112
  • Immunology 306
  • Cell Biology 234
  • Cellular and Molecular Neuroscience 176
  • Microbiology 54
  • Molecular Biology 584
Replace Rob Meijers with:
Rob Meijers Germany
Mario Lebendiker Israel
Pedro José Barbosa Pereira Portugal
M. Goujon France
Erwann Loret France
B.D. Hames United Kingdom
Balaji Prakash India
Sudeshna Kar India
Sylvie Kieffer‐Jaquinod France
Annette Siebers Germany
Nadja Hellmann relative to Rob Meijers Germany Rob Meijers's profile →
Citations per field
00.5×1.5×
Rob Meijers · 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

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007154
2 200694
3 201592
4 201367
5 201954
6 201939
7 201634
8 201032
9 201432
10 201731
11 201329
12 202025
13 200524
14 200524
15 202123
16 201022
17 201721
18 200121
19 200020
20 200819

About Nadja Hellmann

Nadja Hellmann is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Ecology and Immunology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hemoglobin structure and function (18 papers), Invertebrate Immune Response Mechanisms (13 papers), Physiological and biochemical adaptations (11 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 (306 citations), Cell Biology (234 citations), Cellular and Molecular Neuroscience (176 citations), Microbiology (54 citations) and Molecular Biology (584 citations). Nadja Hellmann has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Heinz Decker, Dirk Schneider, Elmar Jaenicke, Ulrich Meissner, Jürgen Markl, Matthias Husmann, Claudia Neukirch, Michael A. Menze, Manfred K. Grieshaber and Qianqian Qin. Their work appears in journals such as Biophysical Journal, Biochemistry, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology 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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