J. Rosa

3.0k citations
116 papers · 2.2k indexed · h-index 24

Impact in

  • Genetics top 0.5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 1%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 73
    • Hemoglobin structure and function 69

J. Rosa

115 papers receiving 2.1k citations

Peers

J. Rosa
Comparison fields: 5 of 103
  • Genetics 1.2k
  • Hematology 690
  • Cell Biology 791
  • Physiology 663
  • Pediatrics, Perinatology and Child Health 446
Replace Titus H.J. Huisman with:
Titus H.J. Huisman United States
Shiro Miwa Japan
John F. Bertles United States
Paula Faustino Portugal
Arabinda Guha United States
William P. Sheffield Canada
Edvardas Kaminskas United States
Carolyn A. Felix United States
K. Heide Germany
Peter Hanfland Germany
J. Rosa relative to Titus H.J. Huisman United States Titus H.J. Huisman's profile →
Citations per field
00.5×
Titus H.J. Huisman · 1×
Citations per year

Countries citing papers authored by J. Rosa

Since Specialization
Citations

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

Fields of papers citing papers by J. Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Rosa Line = papers co-authored together J. Rosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978308
2 198895
3 197893
4 198080
5 198676
6 198874
7 197358
8 198248
9 199347
10 198047
11 196944
12 197239
13 198038
14 198237
15 198535
16 198732
17 199131
18 197630
19 197530
20 199027

About J. Rosa

J. Rosa is a scholar working on Genetics, Cell Biology, Physiology, Hematology and Pediatrics, Perinatology and Child Health, having authored 116 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (73 papers), Hemoglobin structure and function (69 papers), Erythrocyte Function and Pathophysiology (54 papers), Neonatal Health and Biochemistry (23 papers), Iron Metabolism and Disorders (22 papers), Mass Spectrometry Techniques and Applications (10 papers), Metabolism and Genetic Disorders (6 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Genetics (1.2k citations), Hematology (690 citations), Cell Biology (791 citations), Physiology (663 citations) and Pediatrics, Perinatology and Child Health (446 citations). J. Rosa has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Yves Beuzard, Paul Basset, Y. Blouquit, R Rosa, Frédéric Galactéros, N. Arous, M.C. Garel, Martine Cohen‐Solal, Michel Goossens and F Braconnier. Their work appears in journals such as FEBS Letters, Journal of Biological Chemistry, Blood, Biochemical and Biophysical Research Communications and Human Genetics.

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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