Joseph Long

577 citations
9 papers · 419 · h-index 6

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • Virus-based gene therapy research 5
    • Chronic Lymphocytic Leukemia Research 1
    • Hemoglobinopathies and Related Disorders 1

Joseph Long

8 papers receiving 418 citations

Peers

Joseph Long
Comparison fields: 5 of 35
  • Business and International Management 30
  • Genetics 101
  • Genetics 184
  • Aging 10
  • Molecular Biology 335
Replace Georgia R. Lill with:
Georgia R. Lill United States
Beatriz Campo-Fernández United States
Zulema Romero United States
Dianne Lumaquin United States
Megan D. Hoban United States
Chiara Antoniani France
Anne H. Shen United States
Claire Drysdale United States
Aphrodite Georgakopoulou United States
Carrie Lin United States
Joseph Long relative to Georgia R. Lill United States Georgia R. Lill's profile →
Citations per field
00.5×1.7×
Georgia R. Lill · 1×
Citations per year

Countries citing papers authored by Joseph Long

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016163
2 2018110
3 201987
4 201725
5 202120
6 20217
7 20224
8 20243
9 20250

About Joseph Long

Joseph Long is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 419 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (4 papers), Mosquito-borne diseases and control (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Business and International Management (30 citations), Genetics (101 citations), Genetics (184 citations), Aging (10 citations) and Molecular Biology (335 citations). Joseph Long has collaborated with scholars based in United States. Frequent co-authors include Caroline Y. Kuo, Donald B. Kohn, Zulema Romero, Roger P. Hollis, Beatriz Campo-Fernández, Megan D. Hoban, Aaron Cooper, Sorel Fitz‐Gibbon, Georgia R. Lill and Xiaoyan Wang. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Methods & Clinical Development, The CRISPR Journal, Hematology/Oncology Clinics of North America and Cell Reports.

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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