José C. Segovia

12.2k citations
120 papers · 3.3k indexed · h-index 32
  • Genetics top 2%
    • Virus-based gene therapy research 40
    • Mesenchymal stem cell research 10
  • Hepatology top 2%
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation 17
  • Genetics top 5%
    • Virus-based gene therapy research 40
    • Mesenchymal stem cell research 10
    • CRISPR and Genetic Engineering 30
    • RNA Interference and Gene Delivery 19
    • Pluripotent Stem Cells Research 17
    • Erythrocyte Function and Pathophysiology 17
    • Parvovirus B19 Infection Studies 10

José C. Segovia

114 papers receiving 3.2k citations

Peers

José C. Segovia
Comparison fields: 5 of 123
  • Genetics 490
  • Hepatology 324
  • Hematology 436
  • Genetics 705
  • Molecular Biology 1.5k
Replace Nobutaka Kiyokawa with:
Nobutaka Kiyokawa Japan
Biagio Eugenio Leone Italy
Christophe Desterke France
Masaki Inoue Japan
T Sudo Japan
Matthias Friedrich Germany
K Kita Japan
Barbara Ferris United States
José C. Segovia relative to Nobutaka Kiyokawa Japan Nobutaka Kiyokawa's profile →
Citations per field
00.5×2.7×
Nobutaka Kiyokawa · 1×
Citations per year

Countries citing papers authored by José C. Segovia

Since Specialization
Citations

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

Fields of papers citing papers by José C. Segovia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José C. Segovia. 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 José C. Segovia. The network helps show where José C. Segovia may publish in the future.

Co-authorship network

The 25 scholars most cited alongside José C. Segovia, 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 José C. Segovia Line = papers co-authored together José C. Segovia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202318
2 202211
3 20225
4 202113
5 202079
6 202020
7 201917
8 201711
9 201742
10
STEM CELL TRANSPLANTATION IN PYRUVATE KINASE DEFICIENCY
20171
11 20145
12 201326
13 201012
14 20098
15 200819
16 20075
17 200755
18 200719
19 200636
20 19913

About José C. Segovia

José C. Segovia is a scholar working on Hematology, Genetics and Genetics, having authored 120 papers that have together received 3.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), CRISPR and Genetic Engineering (30 papers), RNA Interference and Gene Delivery (19 papers), Erythrocyte Function and Pathophysiology (17 papers), Hematopoietic Stem Cell Transplantation (17 papers), Pluripotent Stem Cells Research (17 papers), Parvovirus B19 Infection Studies (10 papers) and Mesenchymal stem cell research (10 papers). The work is most often cited by research in Genetics (490 citations), Hepatology (324 citations) and Hematology (436 citations). José C. Segovia has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Juan A. Bueren, Óscar Quintana-Bustamante, Guillermo Güenechea, José L. Fernández-Luna, David A. Brenner, Robert F. Schwabe, Nikki Feirt, Tatiana Kisseleva, Hiroshi Uchinami and Àngels Sierra. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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