Gemma Danks

492 citations
10 papers · 144 · h-index 7

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • RNA and protein synthesis mechanisms 2
    • Protist diversity and phylogeny 2
    • RNA Research and Splicing 2
    • Genomics and Phylogenetic Studies 1
    • Marine Bivalve and Aquaculture Studies 2

Gemma Danks

10 papers receiving 141 citations

Peers

Gemma Danks
Comparison fields: 5 of 45
  • Aging 7
  • Global and Planetary Change 46
  • Oceanography 20
  • Molecular Biology 103
  • Paleontology 5
Replace Hsiu-Chi Ting with:
Hsiu-Chi Ting Taiwan
Bradley I. Arshinoff United States
Tyler Heist United States
Yujia Yang China
Julius C. Barsi United States
Naoki Hashimoto Japan
Sarah Séité France
Ahan Dalal Israel
Xiaoqing Zhang China
Jin-Jin Zhang China
Gemma Danks relative to Hsiu-Chi Ting Taiwan Hsiu-Chi Ting's profile →
Citations per field
00.5×1.5×2.2×
Hsiu-Chi Ting · 1×
Citations per year

Countries citing papers authored by Gemma Danks

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Danks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Gemma Danks, 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 Gemma Danks Line = papers co-authored together Gemma Danks links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201250
2 201424
3 201222
4 201712
5
Protein folding with stochastic L-systems
200810
6 201810
7 20076
8 20154
9 20194
10 20112

About Gemma Danks

Gemma Danks is a scholar working on Molecular Biology, Global and Planetary Change, Materials Chemistry, Aging and Oceanography, having authored 10 papers that have together received 144 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), Marine Bivalve and Aquaculture Studies (2 papers), Protist diversity and phylogeny (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), RNA Research and Splicing (2 papers) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Aging (7 citations), Global and Planetary Change (46 citations), Oceanography (20 citations), Molecular Biology (103 citations) and Paleontology (5 citations). Gemma Danks has collaborated with scholars based in Norway, United Kingdom and United States. Frequent co-authors include Eric M. Thompson, Boris Lenhard, J. Robert Manak, Coen Campsteijn, Stephen Butcher, Yoshimasa Sagane, Susan Stepney, Leo S. D. Caves, Pavla Navrátilová and Mrutyunjaya Parida. Their work appears in journals such as BMC Genomics, Artificial Life, Molecular Biology and Evolution, Epigenetics & Chromatin and Nucleic Acids Research.

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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