Jacob Pourat

647 total citations
9 papers, 388 citations indexed

About

Jacob Pourat is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Jacob Pourat has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Jacob Pourat's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Jacob Pourat is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Jacob Pourat collaborates with scholars based in United States and Finland. Jacob Pourat's co-authors include Jason S. Lewis, Kimberly J. Edwards, Sai Kiran Sharma, Brian M. Zeglis, Delphine Vivier, Ashwin Ragupathi, Yelena Y. Janjigian, Jeremy C. Durack, Lukas M. Carter and Patrícia M. R. Pereira and has published in prestigious journals such as Nature Communications, Cancer Research and Clinical Cancer Research.

In The Last Decade

Jacob Pourat

9 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob Pourat United States	8	205	173	163	47	38	9	388
Manfred Birchler Switzerland	6	197 1.0×	129 0.7×	179 1.1×	44 0.9×	18 0.5×	7	386
Komal Mandleywala United States	10	159 0.8×	115 0.7×	106 0.7×	39 0.8×	19 0.5×	16	345
Chirayu Shah United States	10	164 0.8×	298 1.7×	156 1.0×	52 1.1×	32 0.8×	19	551
Karolin Pohle Germany	11	298 1.5×	176 1.0×	129 0.8×	35 0.7×	12 0.3×	12	484
Heather Kostner United States	7	208 1.0×	413 2.4×	263 1.6×	35 0.7×	37 1.0×	12	624
Elza Friedländer Hungary	7	293 1.4×	370 2.1×	223 1.4×	32 0.7×	37 1.0×	7	530
Yen-Chao Wang United States	3	140 0.7×	322 1.9×	167 1.0×	85 1.8×	32 0.8×	3	422
Elena Luison Italy	15	224 1.1×	166 1.0×	246 1.5×	36 0.8×	17 0.4×	22	532
Jascha‐N. Rybak Switzerland	6	209 1.0×	143 0.8×	276 1.7×	50 1.1×	94 2.5×	7	550
Sara García‐Alonso Spain	9	261 1.3×	364 2.1×	184 1.1×	19 0.4×	29 0.8×	11	497

Countries citing papers authored by Jacob Pourat

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Pourat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Pourat

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

All Works

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9 of 9 papers shown

Sharma, Sai Kiran, Alessandra Piersigilli, Jacob Pourat, et al.. (2021). ImmunoPET of Ovarian and Pancreatic Cancer with AR9.6, a Novel MUC16-Targeted Therapeutic Antibody. Clinical Cancer Research. 28(5). 948–959. 29 indexed citations

Sharma, Sai Kiran, Pierre Adumeau, Outi Keinänen, et al.. (2021). Synthesis and Comparative In Vivo Evaluation of Site-Specifically Labeled Radioimmunoconjugates for DLL3-Targeted ImmunoPET. Bioconjugate Chemistry. 32(7). 1255–1262. 12 indexed citations

Sarparanta, Mirkka, Jacob Pourat, Kathryn E. Carnazza, et al.. (2019). Multimodality labeling strategies for the investigation of nanocrystalline cellulose biodistribution in a mouse model of breast cancer. Nuclear Medicine and Biology. 80-81. 1–12. 15 indexed citations

Sharma, Sai Kiran, Andrew Chow, Sébastien Monette, et al.. (2018). Fc-Mediated Anomalous Biodistribution of Therapeutic Antibodies in Immunodeficient Mouse Models. Cancer Research. 78(7). 1820–1832. 81 indexed citations

Pereira, Patrícia M. R., Sai Kiran Sharma, Lukas M. Carter, et al.. (2018). Caveolin-1 mediates cellular distribution of HER2 and affects trastuzumab binding and therapeutic efficacy. Nature Communications. 9(1). 5137–5137. 102 indexed citations

Keinänen, Outi, Kimberly Fung, Jacob Pourat, et al.. (2017). Pretargeting of internalizing trastuzumab and cetuximab with a 18F-tetrazine tracer in xenograft models. EJNMMI Research. 7(1). 95–95. 59 indexed citations

Sharma, Sai Kiran, Jacob Pourat, Sean Carlin, et al.. (2016). A DLL3-targeted theranostic for small cell lung cancer: Imaging a low density target with a site-specifically modified radioimmunoconjugate.. 57. 50–50. 2 indexed citations

Demoin, Dustin Wayne, Linden C. Wyatt, Kimberly J. Edwards, et al.. (2016). PET Imaging of Extracellular pH in Tumors with⁶⁴Cu- and¹⁸F-Labeled pHLIP Peptides: A Structure–Activity Optimization Study. Bioconjugate Chemistry. 27(9). 2014–2023. 48 indexed citations

Kazerounian, Shiva, Damien Gerald, Minzhou Huang, et al.. (2012). RhoB Differentially Controls Akt Function in Tumor Cells and Stromal Endothelial Cells during Breast Tumorigenesis. Cancer Research. 73(1). 50–61. 40 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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