Jacqueline M. Hibbert
- Genetics top 2%
- Hematology top 2%
- Epidemiology top 10%
- Immunology top 10%
- Molecular Biology
- Co-authors
- Jonathan K. StilesNana O. WilsonMingli LiuShanchun GuoNeeru SinghVidhan JainBeatrice E. GeeDennis C. Gore
- Topics
- Hemoglobinopathies and Related Disorders (22 papers)Iron Metabolism and Disorders (16 papers)Metabolism and Genetic Disorders (7 papers)
- Cited by
- GeneticsHematologyNephrology
- Partner nations
- United StatesJamaicaIndia
In The Last Decade
Jacqueline M. Hibbert
45 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 504
- Hematology 450
- Epidemiology 307
- Immunology 296
- Molecular Biology 288
Countries citing papers authored by Jacqueline M. Hibbert
This map shows the geographic impact of Jacqueline M. Hibbert'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 Jacqueline M. Hibbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline M. Hibbert more than expected).
Fields of papers citing papers by Jacqueline M. Hibbert
This network shows the impact of papers produced by Jacqueline M. Hibbert. 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 Jacqueline M. Hibbert. The network helps show where Jacqueline M. Hibbert may publish in the future.
Co-authorship network of co-authors of Jacqueline M. Hibbert
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline M. Hibbert. A scholar is included among the top collaborators of Jacqueline M. Hibbert 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 Jacqueline M. Hibbert. Jacqueline M. Hibbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 14 | |
| 6 | 30 | |
| 7 | 49 | |
| 8 | 38 | |
| 9 | 26 | |
| 10 | CXCL10/IP-10 in infectious diseases pathogenesis and potential therapeutic implicationsbreakdown → | 576 |
| 11 | 109 | |
| 12 | 25 | |
| 13 | 4 | |
| 14 | Maternal pre-pregnancy weight and placental weight determine birth weight in normal Jamaican infants. | 8 |
| 15 | 1 | |
| 16 | 205 | |
| 17 | 8 | |
| 18 | 64 | |
| 19 | Mechanisms of progressive glomerular sclerosis in the rat | 3 |
| 20 | 11 |
About Jacqueline M. Hibbert
Jacqueline M. Hibbert is a scholar working on Genetics, Hematology and Clinical Biochemistry, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (22 papers), Iron Metabolism and Disorders (16 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Genetics (504 citations), Hematology (450 citations) and Nephrology (143 citations). Jacqueline M. Hibbert has collaborated with scholars based in United States, Jamaica and India. Frequent co-authors include Jonathan K. Stiles, Nana O. Wilson, Mingli Liu, Shanchun Guo, Neeru Singh, Vidhan Jain, Beatrice E. Gee, Dennis C. Gore, Eric J. DeMaria and Farook Jahoor. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.