J Kassel

5.0k total citations · 2 hit papers
7 papers, 3.8k citations indexed

About

J Kassel is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, J Kassel has authored 7 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in J Kassel's work include Cancer-related Molecular Pathways (6 papers), Virus-based gene therapy research (3 papers) and Cancer Research and Treatments (3 papers). J Kassel is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Virus-based gene therapy research (3 papers) and Cancer Research and Treatments (3 papers). J Kassel collaborates with scholars based in United States and Norway. J Kassel's co-authors include Stephen Friend, Joseph F. Fraumeni, David Malkin, Frederick P. Li, Farideh Z. Bischoff, David H. Kim, Michael A. Tainsky, Louise C. Strong, Mehmet Öztürk and Bert Vogelstein and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.

In The Last Decade

J Kassel

7 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Germ Line p53 Mutations in a Familial Syndrome of Breast Cancer, Sarcomas, and Other Neoplasms

1990 2.8k citations David Malkin, Frederick P. Li et al. Science profile →
p53 functions as a cell cycle control protein in osteosarcomas.

1990 677 citations Lisa Diller, J Kassel et al. Molecular and Cellular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Kassel United States	7	2.6k	2.2k	955	777	673	7	3.8k
Jane Weaver-Feldhaus United States	10	1.8k 0.7×	1.9k 0.9×	757 0.8×	294 0.4×	214 0.3×	10	3.1k
Peter vanTuinen United States	14	1.3k 0.5×	1.1k 0.5×	584 0.6×	383 0.5×	242 0.4×	25	2.5k
Stephen Baylin United States	4	1.7k 0.6×	1.2k 0.6×	687 0.7×	268 0.3×	332 0.5×	7	2.5k
Birgitte Smith‐Sørensen Norway	17	1.4k 0.6×	1.4k 0.6×	674 0.7×	289 0.4×	236 0.4×	25	2.4k
Kenji Hibi Japan	40	1.9k 0.7×	2.8k 1.3×	1.0k 1.1×	347 0.4×	258 0.4×	142	4.6k
S Hirohashi Japan	25	1.7k 0.7×	1.9k 0.9×	1.1k 1.2×	386 0.5×	127 0.2×	28	3.6k
Steven J. Kuerbitz United States	10	1.6k 0.6×	1.8k 0.8×	473 0.5×	206 0.3×	438 0.7×	19	2.6k
Craig L. Weinstein United States	7	2.9k 1.1×	2.8k 1.3×	1.2k 1.3×	554 0.7×	120 0.2×	9	4.5k
Simone Spaderna Germany	15	2.2k 0.8×	2.9k 1.3×	1.8k 1.8×	323 0.4×	122 0.2×	18	4.4k
S.C. Jhanwar United States	35	1.1k 0.4×	1.4k 0.7×	580 0.6×	501 0.6×	148 0.2×	67	4.2k

Countries citing papers authored by J Kassel

Since Specialization

Citations

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

Fields of papers citing papers by J Kassel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Kassel

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ishioka, Chikashi, Roymarie Ballester, Marcy Engelstein, et al.. (1995). A functional assay for heterozygous mutations in the GTPase activating protein related domain of the neurofibromatosis type 1 gene.. PubMed. 10(5). 841–7. 12 indexed citations

2.

Frebourg, T, Michel Sadelain, Yin‐Shan Ng, J Kassel, & Stephen Friend. (1994). Equal transcription of wild-type and mutant p53 using bicistronic vectors results in the wild-type phenotype.. PubMed. 54(4). 878–81. 43 indexed citations

3.

Frebourg, T, et al.. (1992). Germ-line mutations of the p53 tumor suppressor gene in patients with high risk for cancer inactivate the p53 protein.. Proceedings of the National Academy of Sciences. 89(14). 6413–6417. 76 indexed citations

4.

Frebourg, T, et al.. (1992). A functional screen for germ line p53 mutations based on transcriptional activation.. PubMed. 52(24). 6976–8. 59 indexed citations

5.

Diller, Lisa, J Kassel, Mark C. Gebhardt, et al.. (1990). p53 Functions as a Cell Cycle Control Protein in Osteosarcomas. Molecular and Cellular Biology. 10(11). 5772–5781. 209 indexed citations

6.

Malkin, David, Frederick P. Li, Louise C. Strong, et al.. (1990). Germ Line p53 Mutations in a Familial Syndrome of Breast Cancer, Sarcomas, and Other Neoplasms. Science. 250(4985). 1233–1238. 2766 indexed citations breakdown →

7.

Diller, Lisa, J Kassel, Mark C. Gebhardt, et al.. (1990). p53 functions as a cell cycle control protein in osteosarcomas.. Molecular and Cellular Biology. 10(11). 5772–5781. 677 indexed citations breakdown →

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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