Sue Sha
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Diet, Metabolism, and Disease
- Surgery top 5%
- Pancreatic function and diabetes
Papers in
-
- Diabetes Treatment and Management 11
- Hormonal Regulation and Hypertension 1
- Surgery 5
- Pancreatic function and diabetes 4
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 1
- Co-authors
- David Polidori (10 shared papers)Paul Rothenberg (8 shared papers)Tim Heise (4 shared papers)Atalanta Ghosh (3 shared papers)Leona Plum‐Mörschel (3 shared papers)Nicole Vaccaro (5 shared papers)Damayanthi Devineni (4 shared papers)Theodore P. Ciaraldi (2 shared papers)
- Journals
- Diabetes Obesity and Metabolism (4 papers)Diabetes Care (3 papers)Drug Metabolism and Disposition (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Clinical Therapeutics (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Sue Sha
18 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 1.1k
- Surgery 448
- Nephrology 56
- Pharmacology 120
- Pulmonary and Respiratory Medicine 195
Countries citing papers authored by Sue Sha
This map shows the geographic impact of Sue Sha'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 Sue Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Sha more than expected).
Fields of papers citing papers by Sue Sha
This network shows the impact of papers produced by Sue Sha. 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 Sue Sha. The network helps show where Sue Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue Sha, 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 | 2011 | 258 | |
| 2 | 2013 | 231 | |
| 3 | 2014 | 205 | |
| 4 | 2018 | 141 | |
| 5 | 2005 | 132 | |
| 6 | 2015 | 102 | |
| 7 | 2015 | 79 | |
| 8 | 2013 | 76 | |
| 9 | 2014 | 75 | |
| 10 | 2014 | 59 | |
| 11 | 2006 | 55 | |
| 12 | 2017 | 36 | |
| 13 | 1989 | 26 | |
| 14 | 2015 | 25 | |
| 15 | 2009 | 20 | |
| 16 | 2014 | 17 | |
| 17 | 2014 | 7 | |
| 18 | 2016 | 1 |
About Sue Sha
Sue Sha is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine, Nutrition and Dietetics and Infectious Diseases, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (4 papers), Magnesium in Health and Disease (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Drug Transport and Resistance Mechanisms (1 paper), Neuropeptides and Animal Physiology (1 paper), Hormonal Regulation and Hypertension (1 paper) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Surgery (448 citations), Nephrology (56 citations), Pharmacology (120 citations) and Pulmonary and Respiratory Medicine (195 citations). Sue Sha has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include David Polidori, Paul Rothenberg, Tim Heise, Atalanta Ghosh, Leona Plum‐Mörschel, Nicole Vaccaro, Damayanthi Devineni, Theodore P. Ciaraldi, Robert R. Henry and Sunder Mudaliar. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes Care, Drug Metabolism and Disposition, Antimicrobial Agents and Chemotherapy and Clinical Therapeutics.
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.