David J. Haile

6.7k citations
51 papers · 5.5k indexed · 2 hit papers · h-index 32
Topics
Trace Elements in Health (21 papers)Iron Metabolism and Disorders (20 papers)Hemoglobinopathies and Related Disorders (13 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

David J. Haile

49 papers receiving 5.4k citations

Hit Papers

A Novel Mammalian Iron-regulated Protein Involved in Intr...1994202620042015200019942505007501000

Peers

David J. Haile
Comparison fields: 5 of 123
  • Nutrition and Dietetics 3.0k
  • Hematology 2.9k
  • Molecular Biology 1.9k
  • Genetics 1.8k
  • Health, Toxicology and Mutagenesis 644
Replace Andrew T. McKie with:
Andrew T. McKie United Kingdom
Michael D. Garrick United States
Adriana Donovan United States
Elizabeth A. Leibold United States
Robert E. Fleming United States
Ivana De Domenico United States
Caroline C. Philpott United States
Gaël Nicolas France
Stefania Recalcati Italy
Jay N. Umbreit United States
David J. Haile relative to Andrew T. McKie United Kingdom Andrew T. McKie's profile →
Citations per field
00.5×1.5×2.1×
Andrew T. McKie · 1×
Citations per year

Countries citing papers authored by David J. Haile

Since Specialization
Citations

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

Fields of papers citing papers by David J. Haile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Haile. 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 David J. Haile. The network helps show where David J. Haile may publish in the future.

Co-authorship network of co-authors of David J. Haile

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 4
4 1
5 31
6 6
7 116
8 108
9 108
10 141
11 77
12 166
13 246
14 42
15 29
16 56
17 154
18
Molecular characterization of a copper transport protein in S. cerevisiae: An unexpected role for copper in iron transportbreakdown →
552
19 99
20 78

About David J. Haile

David J. Haile is a scholar working on Hematology, Nutrition and Dietetics and Genetics, having authored 51 papers that have together received 5.5k indexed citations. Recurring topics across this work include Trace Elements in Health (21 papers), Iron Metabolism and Disorders (20 papers) and Hemoglobinopathies and Related Disorders (13 papers). The work is most often cited by research in Hematology (2.9k citations), Nutrition and Dietetics (3.0k citations) and Genetics (1.8k citations). David J. Haile has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Sherry L. Abboud, Richard D. Klausner, Joe B. Harford, Tracey A. Rouault, Andrew Dancis, Daniel Yuan, Funmei Yang, Andrew J. Ghio, Catherine Tang and David Eide. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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