Fida Bacha

7.5k citations
116 papers · 5.2k · h-index 40

Impact in

Papers in

Fida Bacha

108 papers receiving 5.0k citations

Peers

Fida Bacha
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Physiology 871
  • Endocrine and Autonomic Systems 213
  • Public Health, Environmental and Occupational Health 837
  • Epidemiology 706
Replace Andrew A. Bremer with:
Andrew A. Bremer United States
Neslihan Gungor United States
Rachael E. Van Pelt United States
Tania S. Burgert United States
Kristen J. Nadeau United States
Francesco Giugliano Italy
Teri L. Hernandez United States
Susanna Wiegand Germany
S. John Weisnagel Canada
Bo Isomaa Finland
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Citations per field
00.5×1.5×
Andrew A. Bremer · 1×
Citations per year

Countries citing papers authored by Fida Bacha

Since Specialization
Citations

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

Fields of papers citing papers by Fida Bacha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fida Bacha, 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 Fida Bacha Line = papers co-authored together Fida Bacha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003301
2 2012295
3 2006263
4 2004244
5 2012217
6 2006159
7 2005150
8 2015144
9 2020135
10 2008132
11 2005112
12 2006106
13 2010105
14 201199
15 200594
16 201893
17 200789
18 201286
19 201583
20 201683

About Fida Bacha

Fida Bacha is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics, Epidemiology and Surgery, having authored 116 papers that have together received 5.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Diabetes and associated disorders (12 papers), Pancreatic function and diabetes (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (8 papers), Diabetes Treatment and Management (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Physiology (871 citations), Endocrine and Autonomic Systems (213 citations), Public Health, Environmental and Occupational Health (837 citations) and Epidemiology (706 citations). Fida Bacha has collaborated with scholars based in United States, Lebanon and Spain. Frequent co-authors include Silva Arslanian, Neslihan Gungor, SoJung Lee, Rola Saad, Hala Tfayli, Janine E. Janosky, Tamara S. Hannon, Sara F. Michaliszyn, Samuel S. Gidding and Chris Boesch. Their work appears in journals such as Diabetes Care, Pediatric Diabetes, Diabetes, The Journal of Pediatrics and The Journal of Clinical Endocrinology & Metabolism.

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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