Martha Hernandez‐Illas
- Molecular Medicine top 10%
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- Diabetes Treatment and Management 3
- Pituitary Gland Disorders and Treatments 2
- Pharmacology top 10%
- Pharmacology and Obesity Treatment 2
- Drug-Induced Hepatotoxicity and Protection 2
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid 4
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- Pneumocystis jirovecii pneumonia detection and treatment 2
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- Lipoproteins and Cardiovascular Health 2
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- Acute Lymphoblastic Leukemia research 2
- Co-authors
- Yuling WuXiang‐Qing YuGabriel J. RobbieHasan S. JafriTerramika BellamyDavid A. D’AlessioShweta UrvaTamer Coşkun
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Martha Hernandez‐Illas
18 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Medicine 71
- Endocrinology, Diabetes and Metabolism 157
- Pharmacology 120
- Applied Microbiology and Biotechnology 14
- Nephrology 49
Countries citing papers authored by Martha Hernandez‐Illas
This map shows the geographic impact of Martha Hernandez‐Illas'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 Martha Hernandez‐Illas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha Hernandez‐Illas more than expected).
Fields of papers citing papers by Martha Hernandez‐Illas
This network shows the impact of papers produced by Martha Hernandez‐Illas. 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 Martha Hernandez‐Illas. The network helps show where Martha Hernandez‐Illas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martha Hernandez‐Illas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | LY3437943, a novel triple GIP, GLP-1, and glucagon receptor agonist in people with type 2 diabetes: a phase 1b, multicentre, double-blind, placebo-controlled, randomised, multiple-ascending dose trialbreakdown → | 2022 | 130 |
| 4 | 2022 | 1 | |
| 5 | 2022 | 1 | |
| 6 | Preclinical development and phase 1 trial of a novel siRNA targeting lipoprotein(a)breakdown → | 2022 | 167 |
| 7 | 2020 | 25 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 68 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 37 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 92 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 18 | |
| 18 | 2016 | 104 | |
| 19 | 2015 | 85 | |
| 20 | 2004 | 24 |
About Martha Hernandez‐Illas
Martha Hernandez‐Illas is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 20 papers that have together received 812 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (4 papers), Diabetes Treatment and Management (3 papers), Pharmacology and Obesity Treatment (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Molecular Medicine (71 citations), Endocrinology, Diabetes and Metabolism (157 citations) and Pharmacology (120 citations). Martha Hernandez‐Illas has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Yuling Wu, Xiang‐Qing Yu, Gabriel J. Robbie, Hasan S. Jafri, Terramika Bellamy, David A. D’Alessio, Shweta Urva, Tamer Coşkun, Yu Du and Axel Haupt.
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.