Danielle C. Humphris

556 total citations
10 papers, 457 citations indexed

About

Danielle C. Humphris is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Danielle C. Humphris has authored 10 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Biotechnology and 2 papers in Biomedical Engineering. Recurrent topics in Danielle C. Humphris's work include Glycosylation and Glycoproteins Research (4 papers), Muscle Physiology and Disorders (2 papers) and Muscle activation and electromyography studies (2 papers). Danielle C. Humphris is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Muscle Physiology and Disorders (2 papers) and Muscle activation and electromyography studies (2 papers). Danielle C. Humphris collaborates with scholars based in Australia. Danielle C. Humphris's co-authors include Paul A. Gleeson, J. M. Pettitt, Ban‐Hock Toh, Judy M. Callaghan, Terry W. Spithill, Claerwen M. Jones, Fi‐Tjen Mu, D. George Stephenson, Richard J. Simpson and Robert L. Moritz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Cell Science.

In The Last Decade

Danielle C. Humphris

10 papers receiving 449 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle C. Humphris Australia 10 252 127 71 65 58 10 457
Marina G. Smirnova United Kingdom 10 210 0.8× 60 0.5× 126 1.8× 27 0.4× 17 0.3× 10 554
Jane Smitham United States 4 178 0.7× 77 0.6× 58 0.8× 29 0.4× 17 0.3× 7 397
Fela Mendlovic Mexico 13 123 0.5× 79 0.6× 116 1.6× 37 0.6× 54 0.9× 33 487
Yao Fang China 15 252 1.0× 195 1.5× 106 1.5× 45 0.7× 12 0.2× 48 734
Marcus E. Shin United States 11 380 1.5× 80 0.6× 74 1.0× 222 3.4× 10 0.2× 11 580
Susan E. Ivie United States 10 179 0.7× 175 1.4× 341 4.8× 44 0.7× 26 0.4× 11 573
Lian‐Lian Hong China 16 418 1.7× 74 0.6× 74 1.0× 14 0.2× 34 0.6× 33 680
Simin Rezania Iran 13 203 0.8× 41 0.3× 158 2.2× 59 0.9× 46 0.8× 20 547
Kyle Burrows Canada 15 248 1.0× 99 0.8× 294 4.1× 13 0.2× 10 0.2× 26 557
Joana Gaifem Portugal 13 235 0.9× 38 0.3× 147 2.1× 24 0.4× 13 0.2× 18 468

Countries citing papers authored by Danielle C. Humphris

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Humphris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle C. Humphris. 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 Danielle C. Humphris. The network helps show where Danielle C. Humphris may publish in the future.

Co-authorship network of co-authors of Danielle C. Humphris

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle C. Humphris. A scholar is included among the top collaborators of Danielle C. Humphris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle C. Humphris. Danielle C. Humphris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Humphris, Danielle C., et al.. (1995). Characterization of ultrastructural and contractile activation properties of crustacean (Cherax destructor) muscle fibres during claw regeneration and moulting. Journal of Muscle Research and Cell Motility. 16(3). 267–284. 17 indexed citations
2.
3.
Burke, Jo, J. M. Pettitt, Danielle C. Humphris, & Paul A. Gleeson. (1994). Medial-Golgi retention of N-acetylglucosaminyltransferase I. Contribution from all domains of the enzyme.. Journal of Biological Chemistry. 269(16). 12049–12059. 48 indexed citations
4.
Humphris, Danielle C., et al.. (1992). Differences in maximal activation properties of skinned short- and long-sarcomere muscle fibres from the claw of the freshwater crustaceanCherax destructor. Journal of Muscle Research and Cell Motility. 13(6). 668–684. 22 indexed citations
5.
Wijffels, Gene, Jennifer Sexton, J. M. Pettitt, et al.. (1992). Primary sequence heterogeneity and tissue expression of glutathione S-transferases of Fasciola hepatica. Experimental Parasitology. 74(1). 87–99. 54 indexed citations
6.
Jones, Claerwen M., Ban‐Hock Toh, J. M. Pettitt, et al.. (1991). Monoclonal antibodies specific for the core protein of the β‐subunit of the gastric proton pump (H+/K+ ATPase). European Journal of Biochemistry. 197(1). 49–59. 21 indexed citations
7.
8.
Glaser, Theresa A., et al.. (1990). Leishmania major and L. donovani: A method for rapid purification of amastigotes. Experimental Parasitology. 71(3). 343–345. 55 indexed citations
9.
Toh, Ban‐Hock, Paul A. Gleeson, Richard J. Simpson, et al.. (1990). The 60- to 90-kDa parietal cell autoantigen associated with autoimmune gastritis is a beta subunit of the gastric H+/K(+)-ATPase (proton pump).. Proceedings of the National Academy of Sciences. 87(16). 6418–6422. 134 indexed citations
10.

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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