Grażyna Goch

614 citations
16 papers · 486 indexed · h-index 10

Impact in

    • S100 Proteins and Annexins
    • Protein Structure and Dynamics
    • Chemical Synthesis and Analysis
    • Photosynthetic Processes and Mechanisms

Papers in

Grażyna Goch

16 papers receiving 480 citations

Peers

Grażyna Goch
Comparison fields: 5 of 72
  • Molecular Biology 332
  • Microbiology 27
  • Plant Science 147
  • Clinical Biochemistry 18
  • Biochemistry 17
Replace Dina Darwis with:
Dina Darwis Singapore
Natesa Muthukumaraswamy United States
Shu‐Chuan Jao Taiwan
J Mikkelsen Denmark
Y. Makino Japan
Emil Schiltz Germany
Manuela Gellert Germany
Mirella Vivoli United Kingdom
Meritxell Granell France
Weimei Sun United States
Grażyna Goch relative to Dina Darwis Singapore Dina Darwis's profile →
Citations per field
00.5×4.7×
Dina Darwis · 1×
Citations per year

Countries citing papers authored by Grażyna Goch

Since Specialization
Citations

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

Fields of papers citing papers by Grażyna Goch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20213
2 20207
3 201915
4 201620
5 201412
6 201120
7 201134
8 201038
9 20095
10 2009178
11 200546
12 200319
13 19993
14 199972
15 19977
16
Molecular cloning and expression in Escherichia coli of a gene coding for bovine S100A1 protein and its Glu32-->Gln and Glu73-->Gln mutants.
19977

About Grażyna Goch

Grażyna Goch is a scholar working on Developmental Neuroscience, Immunology and Allergy, Molecular Biology, Clinical Biochemistry and Nutrition and Dietetics, having authored 16 papers that have together received 486 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), Enzyme Structure and Function (4 papers), Plant Stress Responses and Tolerance (3 papers), Plant Molecular Biology Research (3 papers), Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers), Trace Elements in Health (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Molecular Biology (332 citations), Microbiology (27 citations), Plant Science (147 citations), Clinical Biochemistry (18 citations) and Biochemistry (17 citations). Grażyna Goch has collaborated with scholars based in Poland, Norway and Germany. Frequent co-authors include Andrzej Bierzyński, Araceli Cantero, Stanley J. Roux, Dorota Konopka‐Postupolska, Jacek Hennig, Greg Clark, Janusz Dȩbski, Hanna Kozłowska, Andrzej Ejchart and Heinrich Sticht. Their work appears in journals such as PLANT PHYSIOLOGY, BMC Microbiology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Biological Chemistry and FEBS Journal.

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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