Mia Jüllig

1.2k total citations
27 papers, 951 citations indexed

About

Mia Jüllig is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Mia Jüllig has authored 27 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Spectroscopy. Recurrent topics in Mia Jüllig's work include Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Cardiovascular Function and Risk Factors (5 papers). Mia Jüllig is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Cardiovascular Function and Risk Factors (5 papers). Mia Jüllig collaborates with scholars based in New Zealand, United Kingdom and United States. Mia Jüllig's co-authors include Rinki Murphy, Michael Booth, Garth J. S. Cooper, Peter Tsai, Amy Liu, Lindsay D. Plank, Staffan Eriksson, Martin Middleditch, Anthony J. Hickey and N. Susan Stott and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Mia Jüllig

27 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mia Jüllig New Zealand 16 520 311 223 123 89 27 951
Maria Zellner Austria 21 425 0.8× 296 1.0× 88 0.4× 89 0.7× 54 0.6× 43 1.2k
Alban Longchamp United States 17 353 0.7× 301 1.0× 297 1.3× 85 0.7× 76 0.9× 60 1.2k
Walter A. Baseler United States 14 770 1.5× 263 0.8× 83 0.4× 186 1.5× 105 1.2× 21 1.2k
Arvand Haschemi Austria 19 699 1.3× 174 0.6× 91 0.4× 92 0.7× 200 2.2× 30 1.5k
Jerzy Jaśkiewicz Poland 18 635 1.2× 482 1.5× 217 1.0× 91 0.7× 72 0.8× 40 1.3k
André Almeida Schenka Brazil 15 352 0.7× 362 1.2× 132 0.6× 45 0.4× 87 1.0× 69 942
Preetha Shridas United States 23 607 1.2× 172 0.6× 324 1.5× 63 0.5× 105 1.2× 39 1.1k
Xunbao Duan United States 15 410 0.8× 278 0.9× 138 0.6× 54 0.4× 298 3.3× 21 1.1k
Pengfei Wu United States 13 671 1.3× 352 1.1× 114 0.5× 77 0.6× 110 1.2× 26 1.2k
Gerda Falkensammer Austria 16 305 0.6× 70 0.2× 119 0.5× 189 1.5× 153 1.7× 21 1.0k

Countries citing papers authored by Mia Jüllig

Since Specialization
Citations

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

Fields of papers citing papers by Mia Jüllig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Jüllig

This figure shows the co-authorship network connecting the top 25 collaborators of Mia Jüllig. A scholar is included among the top collaborators of Mia Jüllig 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 Mia Jüllig. Mia Jüllig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jüllig, Mia, Martin Middleditch, Leo S. Payne, et al.. (2018). Protein Levels and Microstructural Changes in Localized Regions of Early Cartilage Degeneration Compared with Adjacent Intact Cartilage. Cartilage. 12(2). 192–210. 2 indexed citations
2.
Koschwanez, Heidi E., Hayley Robinson, Grant Beban, et al.. (2017). Randomized clinical trial of expressive writing on wound healing following bariatric surgery.. Health Psychology. 36(7). 630–640. 7 indexed citations
3.
Murphy, Rinki, Peter Tsai, Mia Jüllig, et al.. (2016). Differential Changes in Gut Microbiota After Gastric Bypass and Sleeve Gastrectomy Bariatric Surgery Vary According to Diabetes Remission. Obesity Surgery. 27(4). 917–925. 224 indexed citations
4.
Xu, Jingshu, Mia Jüllig, Martin Middleditch, & Garth J. S. Cooper. (2015). Modelling atherosclerosis by proteomics: Molecular changes in the ascending aortas of cholesterol-fed rabbits. Atherosclerosis. 242(1). 268–276. 15 indexed citations
5.
Jüllig, Mia, Aimin Xu, Greg Smith, et al.. (2014). Lower Fetuin-A, Retinol Binding Protein 4 and Several Metabolites after Gastric Bypass Compared to Sleeve Gastrectomy in Patients with Type 2 Diabetes. PLoS ONE. 9(5). e96489–e96489. 43 indexed citations
6.
Erogbogbo, Folarin, Jasmine May, Mark T. Swihart, et al.. (2013). Bioengineering Silicon Quantum Dot Theranostics using a Network Analysis of Metabolomic and Proteomic Data in Cardiac Ischemia. Theranostics. 3(9). 719–728. 13 indexed citations
7.
8.
Hickey, Anthony J., Mia Jüllig, Jacqueline F. Aitken, et al.. (2011). Birds and longevity: Does flight driven aerobicity provide an oxidative sink?. Ageing Research Reviews. 11(2). 242–253. 35 indexed citations
9.
Mittal, Anubhav, Martin Middleditch, Katya Ruggiero, et al.. (2010). CHANGES IN THE MESENTERIC LYMPH PROTEOME INDUCED BY HEMORRHAGIC SHOCK. Shock. 34(2). 140–149. 25 indexed citations
10.
Zeng, Irene, et al.. (2009). A Multi-feature Reproducibility Assessment of Mass Spectral Data in Clinical Proteomic Studies. Clinical Proteomics. 5(3-4). 170–177. 3 indexed citations
11.
Jüllig, Mia, et al.. (2008). Is the failing heart out of fuel or a worn engine running rich? A study of mitochondria in old spontaneously hypertensive rats. PROTEOMICS. 8(12). 2556–2572. 67 indexed citations
12.
Mittal, Anubhav, Katya Ruggiero, Christina M. Buchanan, et al.. (2008). The proteome of rodent mesenteric lymph. American Journal of Physiology-Gastrointestinal and Liver Physiology. 295(5). G895–G903. 35 indexed citations
13.
Jüllig, Mia, Anthony J. Hickey, Martin Middleditch, et al.. (2007). Characterization of proteomic changes in cardiac mitochondria in streptozotocin‐diabetic rats using iTRAQ™ isobaric tags. PROTEOMICS - CLINICAL APPLICATIONS. 1(6). 565–576. 33 indexed citations
14.
Jüllig, Mia, Xiuyin Chen, Anthony J. Hickey, et al.. (2007). Reversal of diabetes‐evoked changes in mitochondrial protein expression of cardiac left ventricle by treatment with a copper(II)‐selective chelator. PROTEOMICS - CLINICAL APPLICATIONS. 1(4). 387–399. 25 indexed citations
15.
16.
Jüllig, Mia, Victor Wei Zhang, & N. Susan Stott. (2004). Gene therapy in orthopaedic surgery: the current status. ANZ Journal of Surgery. 74(1-2). 46–54. 13 indexed citations
17.
Jüllig, Mia & N. Susan Stott. (2003). Mitochondrial localization of Smad5 in a human chondrogenic cell line. Biochemical and Biophysical Research Communications. 307(1). 108–113. 10 indexed citations
18.
Jüllig, Mia & Staffan Eriksson. (2001). Apoptosis Induces Efflux of the Mitochondrial Matrix Enzyme Deoxyguanosine Kinase. Journal of Biological Chemistry. 276(26). 24000–24004. 10 indexed citations
19.
Jüllig, Mia & Staffan Eriksson. (2000). Mitochondrial and submitochondrial localization of human deoxyguanosine kinase. European Journal of Biochemistry. 267(17). 5466–5472. 34 indexed citations
20.
Hatzis, Pantelis, et al.. (1998). The Intracellular Localization of Deoxycytidine Kinase. Journal of Biological Chemistry. 273(46). 30239–30243. 84 indexed citations

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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