Gail Dallalio

26 total papers · 462 total citations
14 papers, 364 citations indexed

About

Gail Dallalio is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, Gail Dallalio has authored 14 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Physiology and 4 papers in Genetics. Recurrent topics in Gail Dallalio's work include Erythrocyte Function and Pathophysiology (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and Iron Metabolism and Disorders (3 papers). Gail Dallalio is often cited by papers focused on Erythrocyte Function and Pathophysiology (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and Iron Metabolism and Disorders (3 papers). Gail Dallalio collaborates with scholars based in United States and Georgia. Gail Dallalio's co-authors include Robert T. Means, Erin Law, Peter T. Frame, A Donath, Bradley D. Worden, Susan T. Stephenson, Anne M. Fitzpatrick, Margaret North, Melanie Grant and Edwin M. Horwitz and has published in prestigious journals such as Blood, Scientific Reports and AIDS.

In The Last Decade

Gail Dallalio

14 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gail Dallalio	241	178	70	67	65	14	364
Emilio Cuadrado	63 0.3×	44 0.2×	27 0.4×	123 1.8×	32 0.5×	13	330
CW McMillan	284 1.2×	100 0.6×	16 0.2×	12 0.2×	32 0.5×	15	403
Nicole Brufatto	256 1.1×	52 0.3×	13 0.2×	15 0.2×	27 0.4×	11	395
Klein Hg	137 0.6×	58 0.3×	57 0.8×	56 0.8×	2 0.0×	17	329
G. Di Giorgio	97 0.4×	68 0.4×	11 0.2×	126 1.9×	6 0.1×	15	376
Jusnara Begum	42 0.2×	37 0.2×	19 0.3×	188 2.8×	11 0.2×	14	347
M. Forbes	246 1.0×	311 1.7×	3 0.0×	18 0.3×	16 0.2×	10	372
Carole Saison	161 0.7×	100 0.6×	10 0.1×	43 0.6×	25 0.4×	16	403
JJ van Oosterhout	155 0.6×	17 0.1×	77 1.1×	45 0.7×	4 0.1×	10	361
Grazia Nicoloso	223 0.9×	61 0.3×	5 0.1×	193 2.9×	11 0.2×	15	397

Countries citing papers authored by Gail Dallalio

Since Specialization

Citations

This map shows the geographic impact of Gail Dallalio'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 Gail Dallalio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Dallalio more than expected).

Fields of papers citing papers by Gail Dallalio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Dallalio. 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 Gail Dallalio. The network helps show where Gail Dallalio may publish in the future.

Co-authorship network of co-authors of Gail Dallalio

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Dallalio. A scholar is included among the top collaborators of Gail Dallalio 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 Gail Dallalio. Gail Dallalio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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