Connie B. Newman
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Epidemiology top 5%
- Economics and Econometrics top 5%
- Molecular Biology
- Co-authors
- Jonathan A. TobertMichael SzarekDavid L. KleinbergLisa R. TannockD L KleinbergGary A. PalmerHalit SilbershatzMichael Miller
- Topics
- Lipoproteins and Cardiovascular Health (16 papers)Growth Hormone and Insulin-like Growth Factors (14 papers)Pituitary Gland Disorders and Treatments (9 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Connie B. Newman
55 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 1.5k
- Surgery 1.2k
- Epidemiology 480
- Economics and Econometrics 336
- Molecular Biology 289
Countries citing papers authored by Connie B. Newman
This map shows the geographic impact of Connie B. Newman'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 Connie B. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie B. Newman more than expected).
Fields of papers citing papers by Connie B. Newman
This network shows the impact of papers produced by Connie B. Newman. 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 Connie B. Newman. The network helps show where Connie B. Newman may publish in the future.
Co-authorship network of co-authors of Connie B. Newman
This figure shows the co-authorship network connecting the top 25 collaborators of Connie B. Newman. A scholar is included among the top collaborators of Connie B. Newman 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 Connie B. Newman. Connie B. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 40 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 74 | |
| 10 | 26 | |
| 11 | Statin Safety and Associated Adverse Events: A Scientific Statement From the American Heart Associationbreakdown → | 488 |
| 12 | 51 | |
| 13 | 12 | |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 16 | |
| 17 | 65 | |
| 18 | 14 | |
| 19 | 86 | |
| 20 | 18 |
About Connie B. Newman
Connie B. Newman is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Pharmacy, having authored 55 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (16 papers), Growth Hormone and Insulin-like Growth Factors (14 papers) and Pituitary Gland Disorders and Treatments (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Surgery (1.2k citations) and Cancer Research (229 citations). Connie B. Newman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan A. Tobert, Michael Szarek, David L. Kleinberg, Lisa R. Tannock, D L Kleinberg, Gary A. Palmer, Halit Silbershatz, Michael Miller, Lynne T. Braun and Francine K. Welty. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Annals of Internal Medicine.
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.