Jeff Jorgensen

545 citations
6 papers · 313 · h-index 4

Impact in

    • Cell Adhesion Molecules Research
  • Neurology top 10%
    • Cerebrovascular and genetic disorders
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Barrier Structure and Function Studies

Papers in

    • Acute Myeloid Leukemia Research 2
    • Hematopoietic Stem Cell Transplantation 1
    • Blood Coagulation and Thrombosis Mechanisms 1
    • Cancer-related gene regulation 1
    • Kruppel-like factors research 1

Jeff Jorgensen

6 papers receiving 312 citations

Peers

Jeff Jorgensen
Comparison fields: 5 of 54
  • Immunology and Allergy 91
  • Neurology 95
  • Hematology 68
  • Neurology 44
  • Genetics 37
Replace Dania S. Khalil with:
Dania S. Khalil Saudi Arabia
Malcolm Rabie Israel
Koichi Miyagi Japan
H. Kawano Japan
Jodi L. Klessner United States
Andrea Viehöver Germany
Ying Zhang Chen Japan
Andres Kulla Estonia
Caroline Bodner Canada
Keith A. Sikora United States
Jeff Jorgensen relative to Dania S. Khalil Saudi Arabia Dania S. Khalil's profile →
Citations per field
00.5×3.7×
Dania S. Khalil · 1×
Citations per year

Countries citing papers authored by Jeff Jorgensen

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Jorgensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2011145
2 201595
3 201647
4 201824
5
OIST- Proceedings. 4'th Oersted International Science Team Conference
20031
6 20221

About Jeff Jorgensen

Jeff Jorgensen is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Neurology, having authored 6 papers that have together received 313 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Cancer-related gene regulation (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Kruppel-like factors research (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Immunology and Allergy (91 citations), Neurology (95 citations), Hematology (68 citations), Neurology (44 citations) and Genetics (37 citations). Jeff Jorgensen has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Marion Jeanne, Douglas B. Gould, Jack Favor, Grazia M.S. Mancini, W. Berkeley Kauffman, Valerie Valant, Steven M. Greenberg, Jonathan Rosand, Cassandre Labelle‐Dumais and Amin M. Alousi. Their work appears in journals such as Leukemia, The American Journal of Human Genetics, HemaSphere, Circulation and Haematologica.

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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