Michael Eicks

489 citations
7 papers · 366 · h-index 7

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Ion channel regulation and function 2
    • Receptor Mechanisms and Signaling 1
    • Plant nutrient uptake and metabolism 4
    • Plant Stress Responses and Tolerance 2
    • Plant responses to water stress 1

Michael Eicks

7 papers receiving 354 citations

Peers

Michael Eicks
Comparison fields: 5 of 66
  • Biochemistry 35
  • Endocrinology, Diabetes and Metabolism 63
  • Plant Science 152
  • Molecular Biology 222
  • Software 8
Replace Silvia Castiglioni with:
Silvia Castiglioni Italy
Xia Ning China
Inke Nitz Germany
Jinli Tian China
Der-Fong Fan United States
Ji Yao Zhang United States
Maykelis Dı́az Cuba
Xiaoting Xu China
Yangha Kim Moon South Korea
Michael Eicks relative to Silvia Castiglioni Italy Silvia Castiglioni's profile →
Citations per field
00.5×1.6×
Silvia Castiglioni · 1×
Citations per year

Countries citing papers authored by Michael Eicks

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Michael Eicks, 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 Michael Eicks Line = papers co-authored together Michael Eicks links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2002145
2 200672
3 200055
4 200643
5 200118
6 201817
7 200216

About Michael Eicks

Michael Eicks is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Information Systems, having authored 7 papers that have together received 366 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Plant Stress Responses and Tolerance (2 papers), Biomedical Research and Pathophysiology (2 papers), Ion channel regulation and function (2 papers), Receptor Mechanisms and Signaling (1 paper) and Plant responses to water stress (1 paper). The work is most often cited by research in Biochemistry (35 citations), Endocrinology, Diabetes and Metabolism (63 citations), Plant Science (152 citations), Molecular Biology (222 citations) and Software (8 citations). Michael Eicks has collaborated with scholars based in Germany. Frequent co-authors include Karsten Fischer, Ulf‐Ingo Flügge, Verónica G. Maurino, Uta C. Hoppe, Guido Michels, Fikret Er, Ismail Khan, Hannelore Haase, Michael Lindner and Stefan Herzig. Their work appears in journals such as PLANT PHYSIOLOGY, Frontiers in Plant Science, Journal of Systems and Software, Cell Calcium and Endocrinology.

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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