L T Lebow

583 citations
17 papers · 493 · h-index 12

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Immune Cell Function and Interaction 7
    • Reproductive System and Pregnancy 3
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2
    • Organ Transplantation Techniques and Outcomes 5
    • Pancreatic function and diabetes 4

L T Lebow

17 papers receiving 481 citations

Peers

L T Lebow
Comparison fields: 5 of 63
  • Hepatology 169
  • Virology 47
  • Immunology 187
  • Surgery 164
  • Epidemiology 62
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Citations per field
00.5×6.8×
Angelica Cazaly · 1×
Citations per year

Countries citing papers authored by L T Lebow

Since Specialization
Citations

This map shows the geographic impact of L T Lebow'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 L T Lebow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L T Lebow more than expected).

Fields of papers citing papers by L T Lebow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L T Lebow. 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 L T Lebow. The network helps show where L T Lebow may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199695
2 198869
3 198766
4 199638
5 199637
6 199032
7 199531
8 199522
9 200217
10 199517
11 199617
12
Natural killer cell subsets: maturation, differentiation and regulation.
199417
13
Automated large-scale production of porcine hepatocytes for bioartificial liver support.
199410
14 19898
15 19937
16 19845
17
Qualitative and quantitative analysis of subpopulations of cytotoxic effector cells by flow cytometry.
19945

About L T Lebow

L T Lebow is a scholar working on Immunology, Surgery, Hepatology, Epidemiology and Oncology, having authored 17 papers that have together received 493 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Liver physiology and pathology (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), Pancreatic function and diabetes (4 papers), Reproductive System and Pregnancy (3 papers), T-cell and B-cell Immunology (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hepatology (169 citations), Virology (47 citations), Immunology (187 citations), Surgery (164 citations) and Epidemiology (62 citations). L T Lebow has collaborated with scholars based in United States and Italy. Frequent co-authors include Benjamin Bonavida, Jonathan D. Katz, Achilles A. Demetriou, Jacek Rózga, Anahid Jewett, B Bonavida, Kazunori Ohnishi, Winston R. Hewitt, Susumu Eguchi and E Morsiani. Their work appears in journals such as The Journal of Immunology, ASAIO Journal, The Journal of Experimental Medicine, Hepatology and Journal of Clinical Immunology.

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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