Nada Fanous

408 total citations · 1 hit paper
8 papers, 271 citations indexed

About

Nada Fanous is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Nada Fanous has authored 8 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Nada Fanous's work include Diabetes Management and Research (3 papers), Pituitary Gland Disorders and Treatments (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Nada Fanous is often cited by papers focused on Diabetes Management and Research (3 papers), Pituitary Gland Disorders and Treatments (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Nada Fanous collaborates with scholars based in United States and France. Nada Fanous's co-authors include Diana Barb, Srilaxmi Kalavalapalli, George Samraj, Kenneth Cusi, Pierre Bédossa, K. Huber, John Malaty, Eddison Godinez Leiva, Romina Lomonaco and Danielle Poulton and has published in prestigious journals such as Diabetes Care, Diabetes and The American Journal of Medicine.

In The Last Decade

Nada Fanous

7 papers receiving 263 citations

Hit Papers

Advanced Liver Fibrosis Is Common in Patients With Type 2... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nada Fanous United States 4 215 127 93 47 38 8 271
Ku-Lang Chang United States 5 216 1.0× 118 0.9× 93 1.0× 48 1.0× 38 1.0× 11 291
Jen Jung Pan United States 6 214 1.0× 105 0.8× 107 1.2× 104 2.2× 40 1.1× 6 343
George Samraj United States 7 215 1.0× 146 1.1× 94 1.0× 61 1.3× 41 1.1× 14 335
Mai Kamaguchi Japan 6 206 1.0× 107 0.8× 80 0.9× 67 1.4× 72 1.9× 9 326
Aki Juhani Käräjämäki Finland 8 210 1.0× 124 1.0× 83 0.9× 26 0.6× 60 1.6× 16 300
Pathik Parikh India 11 274 1.3× 73 0.6× 183 2.0× 46 1.0× 29 0.8× 29 371
Katherine Eberly United States 5 275 1.3× 104 0.8× 139 1.5× 55 1.2× 43 1.1× 9 328
Jesús Rivera‐Esteban Spain 9 240 1.1× 107 0.8× 106 1.1× 49 1.0× 50 1.3× 28 278
Sailimai Man China 9 117 0.5× 57 0.4× 47 0.5× 49 1.0× 18 0.5× 28 255
Sebastian Zenovia Romania 9 216 1.0× 75 0.6× 131 1.4× 30 0.6× 23 0.6× 31 284

Countries citing papers authored by Nada Fanous

Since Specialization
Citations

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

Fields of papers citing papers by Nada Fanous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Fanous

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

All Works

8 of 8 papers shown
1.
Ang, Lynn, A. Ramachandra Rao, Yu Kuei Lin, et al.. (2023). A Novel Receivership Model for Transition of Young Adults With Diabetes: Experience From a Single-center Academic Transition Program. Endocrine Practice. 30(2). 113–121. 2 indexed citations
2.
Lomonaco, Romina, Eddison Godinez Leiva, Fernando Bril, et al.. (2020). Advanced Liver Fibrosis Is Common in Patients With Type 2 Diabetes Followed in the Outpatient Setting: The Need for Systematic Screening. Diabetes Care. 44(2). 399–406. 231 indexed citations breakdown →
3.
Lomonaco, Romina, Nada Fanous, Srilaxmi Kalavalapalli, et al.. (2020). 1461-P: Liver Fibrosis Is Common in Patients with Type 2 Diabetes Mellitus (T2DM) and Nonalcoholic Fatty Liver Disease (NAFLD). Diabetes. 69(Supplement_1). 1 indexed citations
4.
Fanous, Nada & Diana Barb. (2020). Adult hypophosphatasia manifests in a marathon runner. BMJ Case Reports. 13(9). e234764–e234764. 5 indexed citations
5.
Bachmann, Katherine N., Christianne L. Roumie, Andrew Wiese, et al.. (2020). Diabetes medication regimens and patient clinical characteristics in the national patient‐centered clinical research network, PCORnet. Pharmacology Research & Perspectives. 8(5). e00637–e00637. 8 indexed citations
6.
Fanous, Nada, et al.. (2019). Ectopic Cushing Syndrome: A Rare Cause of Electrolyte Derangements. The American Journal of Medicine. 133(5). e173–e176. 2 indexed citations
7.
Fanous, Nada, et al.. (2019). SUN-420 Pituitary Apoplexy Associated With Apixaban. Journal of the Endocrine Society. 3(Supplement_1).
8.
Wiese, Andrew, Christianne L. Roumie, John B. Buse, et al.. (2019). Performance of a computable phenotype for identification of patients with diabetes within PCORnet: The Patient‐Centered Clinical Research Network. Pharmacoepidemiology and Drug Safety. 28(5). 632–639. 22 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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