Hiba AbouAssi

696 total citations
7 papers, 356 citations indexed

About

Hiba AbouAssi is a scholar working on Molecular Biology, Rheumatology and Hematology. According to data from OpenAlex, Hiba AbouAssi has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Rheumatology and 3 papers in Hematology. Recurrent topics in Hiba AbouAssi's work include Rheumatoid Arthritis Research and Therapies (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Hiba AbouAssi is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Hiba AbouAssi collaborates with scholars based in United States and Indonesia. Hiba AbouAssi's co-authors include Kim M. Huffman, William E. Kraus, Lori A. Bateman, Olga Ilkayeva, Robert Stevens, Monica J. Hubal, Eric P. Hoffman, Nina Beri, Deborah M. Muoio and Timothy R. Koves and has published in prestigious journals such as Journal of Applied Physiology, Diabetologia and Arthritis Research & Therapy.

In The Last Decade

Hiba AbouAssi

7 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiba AbouAssi United States 6 201 150 86 62 61 7 356
Ronni Eg Sahl Denmark 7 128 0.6× 111 0.7× 60 0.7× 51 0.8× 34 0.6× 13 273
Yanislava Karusheva Germany 10 185 0.9× 158 1.1× 28 0.3× 76 1.2× 14 0.2× 28 372
Michael W. Schleh United States 8 214 1.1× 48 0.3× 55 0.6× 74 1.2× 54 0.9× 23 349
Verena Coleman Germany 8 258 1.3× 203 1.4× 40 0.5× 83 1.3× 11 0.2× 13 423
Julia Gesing Germany 6 209 1.0× 82 0.5× 47 0.5× 72 1.2× 9 0.1× 13 297
Shuliang Deng United States 7 78 0.4× 86 0.6× 23 0.3× 35 0.6× 18 0.3× 12 227
Pierre-Marie Badin France 7 187 0.9× 116 0.8× 34 0.4× 107 1.7× 8 0.1× 7 328
Louise Lang Lehrskov Denmark 10 178 0.9× 87 0.6× 21 0.2× 97 1.6× 22 0.4× 17 399
S Hoenig Israel 6 153 0.8× 178 1.2× 55 0.6× 21 0.3× 49 0.8× 14 357
Anastasia Thoma United Kingdom 6 104 0.5× 169 1.1× 44 0.5× 54 0.9× 9 0.1× 7 316

Countries citing papers authored by Hiba AbouAssi

Since Specialization
Citations

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

Fields of papers citing papers by Hiba AbouAssi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiba AbouAssi

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

All Works

7 of 7 papers shown
1.
Gulanski, Barbara, Nicole M. Butera, Heidi Krause‐Steinrauf, et al.. (2023). Higher burden of cardiometabolic and socioeconomic risk factors in women with type 2 diabetes: an analysis of the Glycemic Reduction Approaches in Diabetes (GRADE) baseline cohort. BMJ Open Diabetes Research & Care. 11(2). e003159–e003159. 2 indexed citations
2.
AbouAssi, Hiba, Margery A. Connelly, Lori A. Bateman, et al.. (2017). Does a lack of physical activity explain the rheumatoid arthritis lipid profile?. Lipids in Health and Disease. 16(1). 39–39. 18 indexed citations
3.
Bartlett, David B., Margery A. Connelly, Hiba AbouAssi, et al.. (2016). A novel inflammatory biomarker, GlycA, associates with disease activity in rheumatoid arthritis and cardio-metabolic risk in BMI-matched controls. Arthritis Research & Therapy. 18(1). 86–86. 35 indexed citations
4.
AbouAssi, Hiba, Cris A. Slentz, Catherine R. Mikus, et al.. (2015). The effects of aerobic, resistance, and combination training on insulin sensitivity and secretion in overweight adults from STRRIDE AT/RT: a randomized trial. Journal of Applied Physiology. 118(12). 1474–1482. 58 indexed citations
5.
Glynn, Erin L., Lucy W. Piner, Kim M. Huffman, et al.. (2015). Impact of combined resistance and aerobic exercise training on branched-chain amino acid turnover, glycine metabolism and insulin sensitivity in overweight humans. Diabetologia. 58(10). 2324–2335. 106 indexed citations
6.
Huffman, Kim M., Timothy R. Koves, Monica J. Hubal, et al.. (2014). Metabolite signatures of exercise training in human skeletal muscle relate to mitochondrial remodelling and cardiometabolic fitness. Diabetologia. 57(11). 2282–2295. 116 indexed citations
7.
AbouAssi, Hiba, Brian F. Gilmore, Lori A. Bateman, et al.. (2014). Adipose Depots, Not Disease-related Factors, Account for Skeletal Muscle Insulin Sensitivity in Established and Treated Rheumatoid Arthritis. The Journal of Rheumatology. 41(10). 1974–1979. 21 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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