Marilyn Travis

5.4k total citations · 1 hit paper
20 papers, 2.2k citations indexed

About

Marilyn Travis is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Marilyn Travis has authored 20 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Hematology and 7 papers in Immunology. Recurrent topics in Marilyn Travis's work include Hematopoietic Stem Cell Transplantation (7 papers), Muscle Physiology and Disorders (6 papers) and Immunotherapy and Immune Responses (4 papers). Marilyn Travis is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Muscle Physiology and Disorders (6 papers) and Immunotherapy and Immune Responses (4 papers). Marilyn Travis collaborates with scholars based in United States, Switzerland and China. Marilyn Travis's co-authors include Anne Galy, Helen M. Blau, Benjamin P.C. Chen, L. Silberstein, Grace K. Pavlath, Ilene Karsch‐Mizrachi, Leslie A. Leinwand, Simon M. Hughes, Lydia C. Pan and Jyotsna Dhawan and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marilyn Travis

20 papers receiving 2.1k citations

Hit Papers

Human T, B, natural killer, and dendritic cells arise fro... 1995 2026 2005 2015 1995 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Human T, B, natural killer, and dendritic cells arise from a common bone marrow progenitor cell subset
    1995 535 citations Anne Galy, Marilyn Travis et al. Immunity profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marilyn Travis United States 19 920 843 387 320 258 20 2.2k
S Nishikawa Japan 15 739 0.8× 1.2k 1.4× 465 1.2× 185 0.6× 138 0.5× 30 2.2k
Claudia Waskow Germany 28 1.2k 1.3× 2.1k 2.5× 660 1.7× 195 0.6× 357 1.4× 56 3.6k
Megumu K. Saito Japan 27 1.5k 1.7× 672 0.8× 258 0.7× 228 0.7× 281 1.1× 96 2.4k
Arthur K. Sullivan Canada 16 1.0k 1.1× 605 0.7× 236 0.6× 168 0.5× 167 0.6× 44 2.9k
L R Ellingsworth United States 14 1.2k 1.3× 635 0.8× 134 0.3× 224 0.7× 86 0.3× 14 2.4k
Ole Behrendtsen United States 11 1.1k 1.2× 778 0.9× 394 1.0× 283 0.9× 76 0.3× 13 2.9k
Hidetoshi Yamazaki Japan 23 1.1k 1.2× 469 0.6× 141 0.4× 93 0.3× 81 0.3× 60 1.9k
Pierre Vaigot France 22 841 0.9× 361 0.4× 200 0.5× 99 0.3× 71 0.3× 51 1.7k
Holger Kulessa United States 13 1.2k 1.3× 282 0.3× 237 0.6× 190 0.6× 146 0.6× 13 1.7k
Anna Corcione Italy 25 620 0.7× 1.2k 1.5× 457 1.2× 135 0.4× 128 0.5× 56 3.0k

Countries citing papers authored by Marilyn Travis

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Travis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn Travis

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn Travis. A scholar is included among the top collaborators of Marilyn Travis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marilyn Travis. Marilyn Travis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Reche, Pedro A., Vassili Soumelis, Daniel M. Gorman, et al.. (2001). Human Thymic Stromal Lymphopoietin Preferentially Stimulates Myeloid Cells. The Journal of Immunology. 167(1). 336–343. 338 indexed citations
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Brandt, J, Anne Galy, Karin M. Luens, et al.. (1998). Bone marrow repopulation by human marrow stem cells after long-term expansion culture on a porcine endothelial cell line.. PubMed. 26(10). 950–61. 58 indexed citations
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Morel, Franck, et al.. (1996). Primitive hematopoietic cells in murine bone marrow express the CD34 antigen. Blood. 88(10). 3774–3784. 76 indexed citations
8.
Hill, Brenna J., et al.. (1996). High-level expression of a novel epitope of CD59 identifies a subset of CD34+ bone marrow cells highly enriched for pluripotent stem cells.. PubMed. 24(8). 936–43. 22 indexed citations
9.
Galy, Anne, et al.. (1995). Delineation of T-progenitor cell activity within the CD34+ compartment of adult bone marrow. Blood. 85(10). 2770–2778. 33 indexed citations
10.
Galy, Anne, et al.. (1995). Human T, B, natural killer, and dendritic cells arise from a common bone marrow progenitor cell subset. Immunity. 3(4). 459–473. 535 indexed citations breakdown →
11.
Cho, Mildred K., Simon M. Hughes, Ilene Karsch‐Mizrachi, et al.. (1994). Fast myosin heavy chains expressed in secondary mammalian muscle fibers at the time of their inception. Journal of Cell Science. 107(9). 2361–2371. 51 indexed citations
12.
Hughes, Simon M., Mildred K. Cho, Ilene Karsch‐Mizrachi, et al.. (1993). Three Slow Myosin Heavy Chains Sequentially Expressed in Developing Mammalian Skeletal Muscle. Developmental Biology. 158(1). 183–199. 198 indexed citations
13.
Mantegazza, Renato, Simon M. Hughes, Dennis J. Mitchell, et al.. (1991). Modulation of MHC class II antigen expression in human myoblasts after treatment with IFN‐γ. Neurology. 41(7). 1128–1128. 66 indexed citations
14.
Dhawan, Jyotsna, et al.. (1991). Systemic Delivery of Human Growth Hormone by Injection of Genetically Engineered Myoblasts. Science. 254(5037). 1509–1512. 256 indexed citations
15.
Kaplan, I.D., Bruce T. Blakely, Grace K. Pavlath, Marilyn Travis, & Helen M. Blau. (1990). Steroids induce acetylcholine receptors on cultured human muscle: implications for myasthenia gravis.. Proceedings of the National Academy of Sciences. 87(20). 8100–8104. 36 indexed citations
16.
Karsch‐Mizrachi, Ilene, Marilyn Travis, Helen M. Blau, & Leslie A. Leinwand. (1989). Expression and DNA sequence analysis of a human embryonic skeletal muscle mvosin heavy chain gene. Nucleic Acids Research. 17(15). 6167–6179. 50 indexed citations
17.
Silberstein, L., Steven G. Webster, Marilyn Travis, & Helen M. Blau. (1986). Developmental progression of myosin gene expression in cultured muscle cells. Cell. 46(7). 1075–1081. 164 indexed citations
18.
Kyewski, Bruno, Marilyn Travis, & Hillard Kaplan. (1984). Intrathymic lymphopoiesis: stromal cell-associated proliferation of T cells is independent of lymphocyte genotype.. The Journal of Immunology. 133(3). 1111–1116. 25 indexed citations
19.
Boniver, Jacques, A. Declève, Miriam Lieberman, et al.. (1981). Marrow-thymus interactions during radiation leukemogenesis in C57BL/Ka mice.. PubMed. 41(2). 390–2. 57 indexed citations
20.
Declève, A., Marilyn Travis, Irving L. Weissman, Miriam Lieberman, & Henry S. Kaplan. (1975). Focal infection and transformation in situ of thymus cell subclasses by a thymotropic murine leukemia virus.. PubMed. 35(12). 3585–95. 38 indexed citations

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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