Jennifer Kahler

856 total citations
10 papers, 561 citations indexed

About

Jennifer Kahler is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jennifer Kahler has authored 10 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Immunology. Recurrent topics in Jennifer Kahler's work include HER2/EGFR in Cancer Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Mast cells and histamine (2 papers). Jennifer Kahler is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Mast cells and histamine (2 papers). Jennifer Kahler collaborates with scholars based in United States and Japan. Jennifer Kahler's co-authors include Neil W. Gibson, John D. Haley, Sarajane Ross, Mark X. Sliwkowski, Stuart Thomson, Kendall D. Carey, Maria S. Romero, Andrew J. Garton, Jonathan A. Pachter and Mark Bittner and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Jennifer Kahler

10 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Kahler United States 6 302 300 283 79 68 10 561
Young‐Kwang Yoon South Korea 13 412 1.4× 442 1.5× 203 0.7× 104 1.3× 86 1.3× 22 736
Rama Krishna Kancha India 14 286 0.9× 365 1.2× 304 1.1× 150 1.9× 71 1.0× 37 761
Iben Kümler Denmark 12 256 0.8× 388 1.3× 181 0.6× 151 1.9× 113 1.7× 31 616
Monica Red Brewer United States 7 361 1.2× 389 1.3× 222 0.8× 88 1.1× 198 2.9× 12 630
Steve Bender United States 7 399 1.3× 259 0.9× 269 1.0× 148 1.9× 29 0.4× 9 650
Samar Alanazi United States 8 347 1.1× 271 0.9× 102 0.4× 66 0.8× 101 1.5× 13 575
Chenyi Liang China 6 199 0.7× 316 1.1× 260 0.9× 70 0.9× 74 1.1× 8 528
Whei Feng United States 3 481 1.6× 503 1.7× 464 1.6× 152 1.9× 36 0.5× 3 816
Shuta Ohara Japan 11 299 1.0× 321 1.1× 405 1.4× 108 1.4× 42 0.6× 37 627
K. T. Flaherty United States 15 461 1.5× 356 1.2× 256 0.9× 140 1.8× 26 0.4× 32 644

Countries citing papers authored by Jennifer Kahler

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Kahler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Kahler

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

All Works

10 of 10 papers shown
1.
Kahler, Jennifer, Maureen Dougher, Andreas Maderna, et al.. (2017). Abstract 3095: The development of CPI as a novel, next-generation DNA-targeting payload for ADCs. Cancer Research. 77(13_Supplement). 3095–3095. 1 indexed citations
2.
Shor, Boris, Jennifer Kahler, Maureen Dougher, et al.. (2015). Enhanced Antitumor Activity of an Anti-5T4 Antibody–Drug Conjugate in Combination with PI3K/mTOR inhibitors or Taxanes. Clinical Cancer Research. 22(2). 383–394. 21 indexed citations
3.
4.
Hornberger, Keith R., Xin Chen, Andrew P. Crew, et al.. (2013). Discovery of 7-aminofuro[2,3-c]pyridine inhibitors of TAK1: Optimization of kinase selectivity and pharmacokinetics. Bioorganic & Medicinal Chemistry Letters. 23(16). 4511–4516. 23 indexed citations
5.
Jin, Meizhong, Kam Siu, Earl W. May, et al.. (2013). Discovery of Novel Insulin-Like Growth Factor-1 Receptor Inhibitors with Unique Time-Dependent Binding Kinetics. ACS Medicinal Chemistry Letters. 4(7). 627–631. 14 indexed citations
6.
Bhagwat, Shripad V., Prafulla C. Gokhale, Andrew P. Crew, et al.. (2011). Preclinical Characterization of OSI-027, a Potent and Selective Inhibitor of mTORC1 and mTORC2: Distinct from Rapamycin. Molecular Cancer Therapeutics. 10(8). 1394–1406. 159 indexed citations
7.
Bhagwat, Shripad V., Andrew P. Crew, Yan Yao, et al.. (2010). Abstract 4487: OSI-027, a potent and selective small molecule mTORC1/mTORC2 kinase inhibitor is mechanistically distinct from rapamycin. Cancer Research. 70(8_Supplement). 4487–4487. 2 indexed citations
8.
Bhagwat, Shripad V., et al.. (2009). High-Throughput Screening for mTORC1/mTORC2 Kinase Inhibitors Using a Chemiluminescence-Based ELISA Assay. Assay and Drug Development Technologies. 7(5). 471–478. 5 indexed citations
9.
Bhagwat, Shripad V., Prafulla C. Gokhale, Anne Cooke, et al.. (2008). 320 POSTER Cellular characterization of OXA-01, a potent and selective dual mTORC1 and mTORC2 kinase inhibitor. European Journal of Cancer Supplements. 6(12). 102–102. 1 indexed citations
10.
Carey, Kendall D., Andrew J. Garton, Maria S. Romero, et al.. (2006). Kinetic Analysis of Epidermal Growth Factor Receptor Somatic Mutant Proteins Shows Increased Sensitivity to the Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor, Erlotinib. Cancer Research. 66(16). 8163–8171. 334 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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