Lee Levitt

949 citations
24 papers · 667 indexed · h-index 13
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 4
    • Chronic Myeloid Leukemia Treatments 3
    • Immune Cell Function and Interaction 9
    • Immune Response and Inflammation 5
    • T-cell and B-cell Immunology 5
    • T-cell and Retrovirus Studies 3
  • Hepatology top 10%
  • Genetics top 10%
    • Mesenchymal stem cell research 3
    • Erythrocyte Function and Pathophysiology 3

Lee Levitt

24 papers receiving 616 citations

Peers

Lee Levitt
Comparison fields: 5 of 86
  • Hematology 205
  • Immunology 183
  • Hepatology 64
  • Genetics 85
  • Cancer Research 79
Replace T Suyama with:
T Suyama Japan
Carole Ferraro France
Glenn Yamasaki United States
Yuh‐Ching Twu Taiwan
Huai‐Chia Chuang Taiwan
Constantinos Georganas United States
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Yanxia Zhan China
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Yoshiko Matsumoto Japan
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Citations per year

Countries citing papers authored by Lee Levitt

Since Specialization
Citations

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

Fields of papers citing papers by Lee Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200828
2 20053
3 200451
4
Biology and treatment of adult acute lymphoblastic leukemia.
19968
5 199536
6 199348
7 199330
8 199127
9 19891
10
T cell regulated hematopoiesis--molecular interactions in hematopoietic control by CD2 and interleukin 2.
19882
11 19887
12 19883
13 198718
14 198748
15 198713
16 19858
17
Studies of the control of hemopoiesis in Dexter cultures.
19841
18 1979152
19
The use of stem cell assays to monitor the proliferative potential of bone marrow cells.
19792
20 197952

About Lee Levitt

Lee Levitt is a scholar working on Hematology, Immunology and Genetics, having authored 24 papers that have together received 667 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immune Response and Inflammation (5 papers), T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), T-cell and Retrovirus Studies (3 papers), Mesenchymal stem cell research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (205 citations), Immunology (183 citations) and Hepatology (64 citations). Lee Levitt has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Peter J. Quesenberry, Jin‐hong Park, Albert Y. Lin, George A. Fisher, K Kaushansky, M Shatsky, Sam So, Torunn I. Yock, Christopher Biggs and N A Brophy. Their work appears in journals such as Blood, New England Journal of Medicine, Cancer, Journal of Clinical Oncology and The Journal of 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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