Barry Grimes

3.2k total citations · 3 hit papers
17 papers, 2.5k citations indexed

About

Barry Grimes is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Barry Grimes has authored 17 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 8 papers in Immunology and 7 papers in Genetics. Recurrent topics in Barry Grimes's work include Hematopoietic Stem Cell Transplantation (8 papers), Mesenchymal stem cell research (7 papers) and Immune Cell Function and Interaction (5 papers). Barry Grimes is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), Mesenchymal stem cell research (7 papers) and Immune Cell Function and Interaction (5 papers). Barry Grimes collaborates with scholars based in United States, Canada and Netherlands. Barry Grimes's co-authors include Craig T. Jordan, Stephen J. Szilvassy, Mónica L. Guzmán, Dianna S. Howard, Todd E. Meyerrose, Gary Van Zant, David A. Rizzieri, Selina M. Luger, Sarah J. Neering and GL Phillips and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Barry Grimes

17 papers receiving 2.5k citations

Hit Papers

The interleukin-3 recepto... 2000 2026 2008 2017 2000 2001 2011 200 400 600
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. The interleukin-3 receptor alpha chain is a unique marker for human acute myelogenous leukemia stem cells
    2000 623 citations Craig T. Jordan, SJ Szilvassy et al. Leukemia profile →
  2. Nuclear factor-κB is constitutively activated in primitive human acute myelogenous leukemia cells
    2001 592 citations Mónica L. Guzmán, Sarah J. Neering et al. Blood profile →
  3. Effective fiber hypertrophy in satellite cell-depleted skeletal muscle
    2011 490 citations John J. McCarthy, Jyothi Mula et al. Development profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Barry Grimes 1.5k 1.1k 754 537 396 17 2.5k
Borja Sáez 1.7k 1.1× 772 0.7× 422 0.6× 492 0.9× 423 1.1× 41 2.8k
Stephen J. Szilvassy 926 0.6× 1.1k 1.0× 467 0.6× 904 1.7× 479 1.2× 41 2.4k
Kristin J. Hope 1.6k 1.1× 1.2k 1.1× 1.1k 1.5× 573 1.1× 306 0.8× 38 2.9k
Jacques Hatzfeld 1.1k 0.7× 714 0.7× 407 0.5× 363 0.7× 380 1.0× 63 1.9k
Claudia S. Huettner 1.5k 1.0× 1.5k 1.4× 714 0.9× 933 1.7× 689 1.7× 44 3.3k
Kevin Barton 1.8k 1.2× 521 0.5× 722 1.0× 1.0k 1.9× 261 0.7× 50 3.2k
Damien Reynaud 1.3k 0.9× 1.3k 1.2× 491 0.7× 1.2k 2.2× 493 1.2× 27 3.0k
Dana E. Cullen 1.5k 1.0× 751 0.7× 329 0.4× 320 0.6× 465 1.2× 15 2.2k
Rob E. Ploemacher 1.4k 0.9× 1.3k 1.2× 552 0.7× 768 1.4× 708 1.8× 64 2.9k
Brad Dykstra 1.1k 0.8× 1.4k 1.3× 269 0.4× 970 1.8× 403 1.0× 25 2.4k

Countries citing papers authored by Barry Grimes

Since Specialization
Citations

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

Fields of papers citing papers by Barry Grimes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barry Grimes

This figure shows the co-authorship network connecting the top 25 collaborators of Barry Grimes. A scholar is included among the top collaborators of Barry Grimes 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 Barry Grimes. Barry Grimes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Grimes, Barry, et al.. (2013). Mouse Strain Determines Cardiac Growth Potential. PLoS ONE. 8(8). e70512–e70512. 21 indexed citations
2.
McCarthy, John J., Jyothi Mula, Mitsunori Miyazaki, et al.. (2011). Effective fiber hypertrophy in satellite cell-depleted skeletal muscle. Development. 138(17). 3657–3666. 490 indexed citations breakdown →
3.
Hidestrand, Mats, Cathy M. Gurley, Greg T. Nolen, et al.. (2008). Sca-1-Expressing Nonmyogenic Cells Contribute to Fibrosis in Aged Skeletal Muscle. The Journals of Gerontology Series A. 63(6). 566–579. 37 indexed citations
4.
5.
Guzmán, Mónica L., Carol Swiderski, Dianna S. Howard, et al.. (2002). Preferential induction of apoptosis for primary human leukemic stem cells. Proceedings of the National Academy of Sciences. 99(25). 16220–16225. 334 indexed citations
6.
Geiger, Hartmut, et al.. (2002). Analysis of the hematopoietic potential of muscle-derived cells in mice. Blood. 100(2). 721–723. 36 indexed citations
7.
Szilvassy, Stephen J., et al.. (2001). Homing and engraftment defects in ex vivo expanded murine hematopoietic cells are associated with downregulation of β1 integrin. Experimental Hematology. 29(12). 1494–1502. 30 indexed citations
8.
Guzmán, Mónica L., Sarah J. Neering, Barry Grimes, et al.. (2001). Nuclear factor-κB is constitutively activated in primitive human acute myelogenous leukemia cells. Blood. 98(8). 2301–2307. 592 indexed citations breakdown →
9.
Guzmán, Mónica L., Barry Grimes, Dianna S. Howard, et al.. (2001). Expression of tumor-suppressor genes interferon regulatory factor 1 and death-associated protein kinase in primitive acute myelogenous leukemia cells. Blood. 97(7). 2177–2179. 46 indexed citations
10.
11.
Jordan, Craig T., SJ Szilvassy, Todd E. Meyerrose, et al.. (2000). The interleukin-3 receptor alpha chain is a unique marker for human acute myelogenous leukemia stem cells. Leukemia. 14(10). 1777–1784. 623 indexed citations breakdown →
12.
Szilvassy, Stephen J., Todd E. Meyerrose, & Barry Grimes. (2000). Effects of cell cycle activation on the short-term engraftment properties of ex vivo expanded murine hematopoietic cells. Blood. 95(9). 2829–2837. 48 indexed citations
13.
Haan, Gerald de, Stephen J. Szilvassy, Todd E. Meyerrose, et al.. (2000). Distinct functional properties of highly purified hematopoietic stem cells from mouse strains differing in stem cell numbers. Blood. 96(4). 1374–1379. 47 indexed citations
14.
Haan, Gerald de, Stephen J. Szilvassy, Todd E. Meyerrose, et al.. (2000). Distinct functional properties of highly purified hematopoietic stem cells from mouse strains differing in stem cell numbers. Blood. 96(4). 1374–1379. 3 indexed citations
15.
16.
Szilvassy, Stephen J., Michael J. Bass, Gary Van Zant, & Barry Grimes. (1999). Organ-Selective Homing Defines Engraftment Kinetics of Murine Hematopoietic Stem Cells and Is Compromised by Ex Vivo Expansion. Blood. 93(5). 1557–1566. 10 indexed citations
17.
Szilvassy, Stephen J., Michael J. Bass, Gary Van Zant, & Barry Grimes. (1999). Organ-Selective Homing Defines Engraftment Kinetics of Murine Hematopoietic Stem Cells and Is Compromised by Ex Vivo Expansion. Blood. 93(5). 1557–1566. 123 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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