Frances M. Gill
- Genetics top 0.2%
- Hematology top 0.5%
- Pediatrics, Perinatology and Child Health top 1%
- Epidemiology top 10%
- Physiology
- Co-authors
- Charles H. PegelowDoris L. WethersSteven J. WeinerJohn W. MoohrLynn A. SleeperScott T. MillerStephen H. EmburyKwaku Ohene‐Frempong
- Topics
- Hemoglobinopathies and Related Disorders (18 papers)Blood groups and transfusion (8 papers)Iron Metabolism and Disorders (7 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Frances M. Gill
35 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Genetics 2.2k
- Hematology 1.9k
- Pediatrics, Perinatology and Child Health 738
- Epidemiology 371
- Physiology 170
Countries citing papers authored by Frances M. Gill
This map shows the geographic impact of Frances M. Gill'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 Frances M. Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances M. Gill more than expected).
Fields of papers citing papers by Frances M. Gill
This network shows the impact of papers produced by Frances M. Gill. 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 Frances M. Gill. The network helps show where Frances M. Gill may publish in the future.
Co-authorship network of co-authors of Frances M. Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Frances M. Gill. A scholar is included among the top collaborators of Frances M. Gill 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 Frances M. Gill. Frances M. Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 'I'm Sober, Doctor, Really': Best Biomarkers for Underreported Alcohol Use: When and How to Use Highly Specific Combinations to Assess Withdrawal Risk | 1 |
| 4 | Cerebrovascular accidents in sickle cell disease: rates and risk factors.breakdown → | 1266 |
| 5 | 47 | |
| 6 | 42 | |
| 7 | 20 | |
| 8 | 170 | |
| 9 | Prophylaxis with Oral Penicillin in Children with Sickle Cell Anemiabreakdown → | 820 |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 42 | |
| 14 | 11 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 28 | |
| 19 | 33 | |
| 20 | 2 |
About Frances M. Gill
Frances M. Gill is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (18 papers), Blood groups and transfusion (8 papers) and Iron Metabolism and Disorders (7 papers). The work is most often cited by research in Genetics (2.2k citations), Hematology (1.9k citations) and Pediatrics, Perinatology and Child Health (738 citations). Frances M. Gill has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Charles H. Pegelow, Doris L. Wethers, Steven J. Weiner, John W. Moohr, Lynn A. Sleeper, Scott T. Miller, Stephen H. Embury, Kwaku Ohene‐Frempong, Harold S. Zarkowsky and Joel Verter. Their work appears in journals such as Science, New England Journal of Medicine and Journal of Biological Chemistry.
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.