James J. Weber

545 total citations
12 papers, 424 citations indexed

About

James J. Weber is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, James J. Weber has authored 12 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in James J. Weber's work include CAR-T cell therapy research (4 papers), Virus-based gene therapy research (3 papers) and Neuroblastoma Research and Treatments (3 papers). James J. Weber is often cited by papers focused on CAR-T cell therapy research (4 papers), Virus-based gene therapy research (3 papers) and Neuroblastoma Research and Treatments (3 papers). James J. Weber collaborates with scholars based in United States, Switzerland and Australia. James J. Weber's co-authors include Bryon D. Johnson, Jill A. Gershan, Weiqing Jing, Laura McOlash, Michael B. Dwinell, Christy S. Barrios, Olivier Ouari, Donna McAllister, Catherine Sabatos-Peyton and Balaraman Kalyanaraman and has published in prestigious journals such as Cancer Research, Oncotarget and American Journal of Clinical Pathology.

In The Last Decade

James J. Weber

12 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Weber United States 10 206 192 143 82 41 12 424
Pardeep Heir Canada 11 143 0.7× 463 2.4× 113 0.8× 149 1.8× 36 0.9× 12 614
Elsie White United States 7 187 0.9× 443 2.3× 83 0.6× 153 1.9× 40 1.0× 7 613
Dilini Gunatilake Australia 11 236 1.1× 418 2.2× 160 1.1× 69 0.8× 74 1.8× 12 624
Chi-Chao Chen United States 8 152 0.7× 267 1.4× 124 0.9× 77 0.9× 55 1.3× 11 482
Fanmao Zhang United States 6 181 0.9× 270 1.4× 54 0.4× 77 0.9× 54 1.3× 8 421
Silvia Licciulli Italy 8 127 0.6× 366 1.9× 45 0.3× 83 1.0× 33 0.8× 8 470
Antonio Candiloro Italy 11 232 1.1× 415 2.2× 114 0.8× 189 2.3× 21 0.5× 17 635
Efrat Flashner-Abramson Israel 10 150 0.7× 230 1.2× 73 0.5× 97 1.2× 24 0.6× 13 393
Zinal Chheda United States 8 275 1.3× 182 0.9× 322 2.3× 126 1.5× 19 0.5× 11 614

Countries citing papers authored by James J. Weber

Since Specialization
Citations

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

Fields of papers citing papers by James J. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J. Weber

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

All Works

12 of 12 papers shown
1.
Jing, Weiqing, Jill A. Gershan, Sandra Holzhauer, et al.. (2017). T Cells Deficient in Diacylglycerol Kinase ζ Are Resistant to PD-1 Inhibition and Help Create Persistent Host Immunity to Leukemia. Cancer Research. 77(20). 5676–5686. 17 indexed citations
2.
Jing, Weiqing, Jill A. Gershan, Grace C. Blitzer, et al.. (2017). Adoptive cell therapy using PD-1+ myeloma-reactive T cells eliminates established myeloma in mice. Journal for ImmunoTherapy of Cancer. 5(1). 51–51. 29 indexed citations
3.
Cheng, Gang, Jacek Zielonka, Olivier Ouari, et al.. (2016). Mitochondria-Targeted Analogues of Metformin Exhibit Enhanced Antiproliferative and Radiosensitizing Effects in Pancreatic Cancer Cells. Cancer Research. 76(13). 3904–3915. 168 indexed citations
4.
Palen, Katie, James J. Weber, Michael B. Dwinell, et al.. (2016). E-cadherin re-expression showsin vivoevidence for mesenchymal to epithelial transition in clonal metastatic breast tumor cells. Oncotarget. 7(28). 43363–43375. 20 indexed citations
5.
Jing, Weiqing, Jill A. Gershan, James J. Weber, et al.. (2015). Combined immune checkpoint protein blockade and low dose whole body irradiation as immunotherapy for myeloma. Journal for ImmunoTherapy of Cancer. 3(1). 2–2. 98 indexed citations
6.
Gershan, Jill A., et al.. (2015). Immune modulating effects of cyclophosphamide and treatment with tumor lysate/CpG synergize to eliminate murine neuroblastoma. Journal for ImmunoTherapy of Cancer. 3(1). 24–24. 9 indexed citations
7.
Lager, Donna J., et al.. (2013). Incidence of Diagnostic Change in Colorectal Polyp Specimens After Deeper Sectioning at 2 Different Laboratories Staffed by the Same Pathologists. American Journal of Clinical Pathology. 140(2). 231–237. 15 indexed citations
9.
Zheng, Jin, M. Eric Kohler, Qingrong Chen, et al.. (2007). Serum from mice immunized in the context of Treg inhibition identifies DEK as a neuroblastoma tumor antigen. BMC Immunology. 8(1). 4–4. 11 indexed citations
12.
Gershan, Jill A., Bryon D. Johnson, James J. Weber, et al.. (2005). Immediate transfection of patient-derived leukemia: a novel source for generating cell-based vaccines. PubMed. 3(1). 4–4. 5 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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