Jonathan M. Weber

4.1k total citations · 1 hit paper
17 papers, 3.2k citations indexed

About

Jonathan M. Weber is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Jonathan M. Weber has authored 17 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Hematology. Recurrent topics in Jonathan M. Weber's work include Fibroblast Growth Factor Research (5 papers), Mesenchymal stem cell research (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Jonathan M. Weber is often cited by papers focused on Fibroblast Growth Factor Research (5 papers), Mesenchymal stem cell research (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Jonathan M. Weber collaborates with scholars based in United States, Canada and Cyprus. Jonathan M. Weber's co-authors include Laura M. Calvi, Laurie A. Milner, Melissa C. Knight, Ernestina Schipani, David P. Olson, Kathryn Weibrecht, Henry M. Kronenberg, Roderick P. Martin, Paola Divieti Pajevic and David T. Scadden and has published in prestigious journals such as Nature, Blood and Journal of Clinical Microbiology.

In The Last Decade

Jonathan M. Weber

17 papers receiving 3.1k citations

Hit Papers

Osteoblastic cells regulate the haematopoietic stem cell ... 2003 2026 2010 2018 2003 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Weber United States 10 1.7k 1.1k 970 814 787 17 3.2k
Roderick P. Martin United States 7 1.6k 1.0× 1.1k 1.0× 946 1.0× 746 0.9× 748 1.0× 7 2.9k
Jeff Haug United States 9 1.4k 0.9× 1.3k 1.1× 809 0.8× 756 0.9× 619 0.8× 10 2.9k
MJ Fackler United States 8 1.3k 0.8× 1.1k 1.0× 645 0.7× 853 1.0× 513 0.7× 10 2.9k
PJ Simmons Australia 17 1.4k 0.9× 883 0.8× 1.1k 1.2× 785 1.0× 761 1.0× 30 3.1k
Marja Ekblom Sweden 26 1.3k 0.8× 961 0.9× 761 0.8× 623 0.8× 349 0.4× 55 2.9k
Beverly Torok‐Storb United States 28 1.2k 0.7× 1.3k 1.1× 1.1k 1.2× 1.0k 1.3× 568 0.7× 64 3.8k
Myrtle Y. Gordon United Kingdom 22 1.0k 0.6× 914 0.8× 612 0.6× 511 0.6× 494 0.6× 60 2.3k
Tatsuki Sugiyama Japan 20 2.6k 1.6× 1.3k 1.2× 1.3k 1.4× 2.2k 2.7× 1.4k 1.8× 30 5.0k
Ewa Sitnicka Sweden 26 2.0k 1.2× 1.3k 1.2× 555 0.6× 2.1k 2.5× 572 0.7× 53 3.9k
CJ Eaves Canada 37 3.3k 2.0× 1.3k 1.1× 1.5k 1.6× 1.2k 1.4× 909 1.2× 73 4.7k

Countries citing papers authored by Jonathan M. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Weber. 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 Jonathan M. Weber. The network helps show where Jonathan M. Weber may publish in the future.

Co-authorship network of co-authors of Jonathan M. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Weber. A scholar is included among the top collaborators of Jonathan M. Weber 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 Jonathan M. Weber. Jonathan M. Weber 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.
Rosenfeld, Richard M., Micaela Karlsen, Abd Moain Abu Dabrh, et al.. (2025). Lifestyle Interventions for Treatment and Remission of Type 2 Diabetes and Prediabetes in Adults: A Clinical Practice Guideline From the American College of Lifestyle Medicine. American Journal of Lifestyle Medicine. 19(2_suppl). 10S–131S. 3 indexed citations
2.
Weber, Jonathan M. & Benjamin Doolittle. (2023). Religion, spirituality and improved glycemic control among people with type 2 diabetes: A systematic review. The International Journal of Psychiatry in Medicine. 58(6). 617–636. 6 indexed citations
4.
Calvi, Laura M., Yumie Rhee, Jonathan M. Weber, et al.. (2012). Osteoblastic expansion induced by parathyroid hormone receptor signaling in murine osteocytes is not sufficient to increase hematopoietic stem cells. Blood. 119(11). 2489–2499. 48 indexed citations
5.
Frisch, Benjamin J., Rebecca L. Porter, Jonathan M. Weber, et al.. (2012). Intermittent in Vivo Parathyroid Hormone (PTH) Treatment Results in Jagged 1 (Jag 1) Dependent and Independent Effects On Hematopoietic Stem Cells (HSCs). Blood. 120(21). 642–642. 1 indexed citations
6.
Frisch, Benjamin J., et al.. (2012). Osteoblastic N-cadherin is not required for microenvironmental support and regulation of hematopoietic stem and progenitor cells. Blood. 120(2). 303–313. 73 indexed citations
7.
Smith, Julianne, Jonathan M. Weber, & Laura M. Calvi. (2011). PTH Stimulates Osteoblastic VEGF-A Production and Remodels Bone Marrow Micro-Endothelial Structures. Blood. 118(21). 722–722. 2 indexed citations
8.
Weber, Jonathan M. & Laura M. Calvi. (2009). Notch signaling and the bone marrow hematopoietic stem cell niche. Bone. 46(2). 281–285. 85 indexed citations
9.
Frisch, Benjamin J., Rebecca L. Porter, Benjamin J. Gigliotti, et al.. (2009). In vivo prostaglandin E2 treatment alters the bone marrow microenvironment and preferentially expands short-term hematopoietic stem cells. Blood. 114(19). 4054–4063. 63 indexed citations
10.
Weber, Jonathan M., Christina A. Christianson, Benjamin J. Frisch, et al.. (2006). Parathyroid hormone stimulates expression of the Notch ligand Jagged1 in osteoblastic cells. Bone. 39(3). 485–493. 72 indexed citations
11.
Calvi, Laura M., Benjamin J. Frisch, Benjamin J. Gigliotti, et al.. (2006). Prostaglandin E2 (PGE2) Regulates Osteoblastic Jagged1 and Expands Primitive Hematopoietic Cells In Vivo.. Blood. 108(11). 89–89. 1 indexed citations
12.
Calvi, Laura M., Hong‐In Shin, Melissa C. Knight, et al.. (2004). Constitutively active PTH/PTHrP receptor in odontoblasts alters odontoblast and ameloblast function and maturation. Mechanisms of Development. 121(4). 397–408. 33 indexed citations
13.
Calvi, Laura M., G. B. Adams, Kathryn Weibrecht, et al.. (2003). Osteoblastic cells regulate the haematopoietic stem cell niche. Nature. 425(6960). 841–846. 2594 indexed citations breakdown →
14.
Mitchell, Leslie A., Aubrey J. Tingle, R. G. Marusyk, et al.. (1996). Rubella reimmunization: comparative analysis of the immunoglobulin G response to rubella virus vaccine in previously seronegative and seropositive individuals. Journal of Clinical Microbiology. 34(9). 2210–2218. 17 indexed citations
15.
Duclos, Philippe, et al.. (1995). Seroprevalence of measles- and rubella-specific antibodies among military recruits, Canada, 1991.. PubMed. 85(4). 278–81. 9 indexed citations
16.
Chalmers, Andrew, David W. Scheifele, David A. Williams, et al.. (1994). Immunization of patients with rheumatoid arthritis against influenza: a study of vaccine safety and immunogenicity.. PubMed. 21(7). 1203–6. 107 indexed citations
17.
Malleson, P N, et al.. (1993). Influenza immunization in children with chronic arthritis: a prospective study.. PubMed. 20(10). 1769–73. 50 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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