Allison P. Jacob

2.2k total citations
37 papers, 941 citations indexed

About

Allison P. Jacob is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Allison P. Jacob has authored 37 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 16 papers in Cancer Research and 13 papers in Molecular Biology. Recurrent topics in Allison P. Jacob's work include Cancer Genomics and Diagnostics (13 papers), Lymphoma Diagnosis and Treatment (12 papers) and CAR-T cell therapy research (7 papers). Allison P. Jacob is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), Lymphoma Diagnosis and Treatment (12 papers) and CAR-T cell therapy research (7 papers). Allison P. Jacob collaborates with scholars based in United States, United Kingdom and Sweden. Allison P. Jacob's co-authors include William C. Dougall, Jon C. Jones, Ryan Erwert, Dan Branstetter, Eva González‐Suárez, Robert E. Miller, Jan Pinkas, J. A. Holmes, Mark Tometsko and Daniel Branstetter and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Blood.

In The Last Decade

Allison P. Jacob

33 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison P. Jacob United States 13 624 376 256 183 121 37 941
Lynley V. Marshall United Kingdom 17 439 0.7× 459 1.2× 207 0.8× 149 0.8× 51 0.4× 62 1.2k
Biagio Paolini Italy 20 305 0.5× 325 0.9× 185 0.7× 89 0.5× 84 0.7× 80 1.0k
Elena Tsanou Greece 17 246 0.4× 360 1.0× 132 0.5× 193 1.1× 61 0.5× 26 802
Lindsey Kelly United States 15 396 0.6× 494 1.3× 428 1.7× 184 1.0× 141 1.2× 20 1.3k
Carlo Hojilla Canada 12 811 1.3× 732 1.9× 504 2.0× 40 0.2× 76 0.6× 19 1.5k
Rüediger Liersch Germany 18 332 0.5× 438 1.2× 216 0.8× 78 0.4× 36 0.3× 33 942
Jean‐Michel Picquenot France 17 429 0.7× 215 0.6× 239 0.9× 508 2.8× 48 0.4× 48 908
Pavan Bachireddy United States 11 355 0.6× 481 1.3× 150 0.6× 68 0.4× 101 0.8× 21 1.1k
Gerald Webersinke Austria 17 211 0.3× 353 0.9× 209 0.8× 100 0.5× 61 0.5× 54 964
Susan S. Padalecki United States 12 725 1.2× 607 1.6× 145 0.6× 73 0.4× 64 0.5× 17 1.2k

Countries citing papers authored by Allison P. Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Allison P. Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison P. Jacob. 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 Allison P. Jacob. The network helps show where Allison P. Jacob may publish in the future.

Co-authorship network of co-authors of Allison P. Jacob

This figure shows the co-authorship network connecting the top 25 collaborators of Allison P. Jacob. A scholar is included among the top collaborators of Allison P. Jacob 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 Allison P. Jacob. Allison P. Jacob 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.
Matasar, Matthew J., Marcus Messmer, Rashmi Khanal, et al.. (2024). Abstract CT245: Circulating tumor DNA and nivolumab maintenance: A pilot study in diffuse large B cell lymphoma. Cancer Research. 84(7_Supplement). CT245–CT245.
2.
Rau, Rachel E., Sumit Gupta, John A. Kairalla, et al.. (2024). Comparison of immunoglobulin high-throughput sequencing MRD in bone marrow and peripheral blood in pediatric B-ALL: A report from the Children's Oncology Group AALL1731.. Journal of Clinical Oncology. 42(16_suppl). 10014–10014. 1 indexed citations
3.
4.
Hultcrantz, Malin, Even H. Rustad, Venkata Yellapantula, et al.. (2022). Capture Rate of V(D)J Sequencing for Minimal Residual Disease Detection in Multiple Myeloma. Clinical Cancer Research. 28(10). 2160–2166. 1 indexed citations
5.
Frank, Matthew J., Nasheed Hossain, Ali Bukhari, et al.. (2021). Monitoring of Circulating Tumor DNA Improves Early Relapse Detection After Axicabtagene Ciloleucel Infusion in Large B-Cell Lymphoma: Results of a Prospective Multi-Institutional Trial. Journal of Clinical Oncology. 39(27). 3034–3043. 87 indexed citations
6.
Olszewski, Adam J., Anna Chorzalska, Thomas Ollila, et al.. (2021). Detection of clonotypic DNA in the cerebrospinal fluid as a marker of central nervous system invasion in lymphoma. Blood Advances. 5(24). 5525–5535. 24 indexed citations
7.
Miljković, Miloš D., Christopher Melani, Stefania Pittaluga, et al.. (2021). Next-Generation Sequencing-Based Monitoring of Circulating Tumor DNA Reveals Clonotypic Heterogeneity in Untreated PTCL. Blood Advances. 5(20). 4198–4210. 17 indexed citations
8.
9.
Holstein, Sarah A., Zaid Al‐Kadhimi, Luciano J. Costa, et al.. (2019). Summary of the Third Annual Blood and Marrow Transplant Clinical Trials Network Myeloma Intergroup Workshop on Minimal Residual Disease and Immune Profiling. Biology of Blood and Marrow Transplantation. 26(1). e7–e15. 12 indexed citations
10.
11.
Hultcrantz, Malin, Even H Rustad, Venkata Yellapantula, et al.. (2018). Capture Rate of the Adaptive Next Generation Sequencing VDJ Assay in Multiple Myeloma. Blood. 132(Supplement 1). 3184–3184. 3 indexed citations
12.
Sarosiek, Shayna, Mariateresa Fulciniti, Allison P. Jacob, et al.. (2017). Detection of Circulating Clonal Plasma Cells Using Next Generation Sequencing in Patients with AL Amyloidosis and Low Plasma Cell Burden: A Novel Discovery. Blood. 130. 5374–5374. 2 indexed citations
13.
Hamblett, Kevin J., Allison P. Jacob, Jesse L. Gurgel, et al.. (2015). SLC46A3 Is Required to Transport Catabolites of Noncleavable Antibody Maytansine Conjugates from the Lysosome to the Cytoplasm. Cancer Research. 75(24). 5329–5340. 90 indexed citations
14.
Branstetter, Daniel, Kathy Rohrbach, Liya Huang, et al.. (2015). RANK and RANK ligand expression in primary human osteosarcoma. Journal of bone oncology. 4(3). 59–68. 41 indexed citations
15.
Szwarc, Maria M., Ramakrishna Kommagani, Allison P. Jacob, et al.. (2015). Aberrant Activation of the RANK Signaling Receptor Induces Murine Salivary Gland Tumors. PLoS ONE. 10(6). e0128467–e0128467. 9 indexed citations
16.
Wood, Charles, Daniel Branstetter, Allison P. Jacob, et al.. (2013). Progestin effects on cell proliferation pathways in the postmenopausal mammary gland. Breast Cancer Research. 15(4). R62–R62. 31 indexed citations
17.
González‐Suárez, Eva, Allison P. Jacob, Jon C. Jones, et al.. (2010). RANK ligand mediates progestin-induced mammary epithelial proliferation and carcinogenesis. Nature. 468(7320). 103–107. 431 indexed citations
18.
Jacob, Allison P., et al.. (1998). Recovery of spermatogenesis following bone marrow transplantation. Bone Marrow Transplantation. 22(3). 277–279. 45 indexed citations
19.
Jacob, Allison P., Mike Griffiths, S. Larkins, & J. A. Holmes. (1997). t(3;21) following peripheral blood stem cell transplantation in chronic phase chronic myeloid leukaemia. Bone Marrow Transplantation. 19(12). 1255–1258. 4 indexed citations
20.
Jacob, Allison P., D. C. Rowlands, Niall Patton, & J. A. Holmes. (1994). Chronic granulocytic leukaemia presenting with an extramedullary T lymphoblastic crisis. British Journal of Haematology. 88(2). 435–436. 11 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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