Sam E. Tischfield

2.5k total citations
12 papers, 826 citations indexed

About

Sam E. Tischfield is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Sam E. Tischfield has authored 12 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sam E. Tischfield's work include DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (4 papers) and CRISPR and Genetic Engineering (3 papers). Sam E. Tischfield is often cited by papers focused on DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (4 papers) and CRISPR and Genetic Engineering (3 papers). Sam E. Tischfield collaborates with scholars based in United States, Canada and United Kingdom. Sam E. Tischfield's co-authors include Scott Keeney, Maria Jasin, Jing Pan, Xuan Zhu, Nicholas D. Socci, Mariko Sasaki, Andreas Hochwagen, R. Kniewel, Hajime Murakami and Hannah G. Blitzblau and has published in prestigious journals such as Cell, Nature Structural & Molecular Biology and PLoS Genetics.

In The Last Decade

Sam E. Tischfield

11 papers receiving 822 citations

Peers

Sam E. Tischfield

MB

PS

GENET

CR

CB

James W. Westmoreland United States

Olivier Fritsch Switzerland

Cyril Ribeyre France

Leily Rabbani Germany

Isabel Amorim Portugal

Simon Amiard France

Pieter A. Dijkwel United States

Kate M. Kramer United States

Mart Speek Estonia

Yue-Qi Yin China

James W. Westmoreland United States

Sam E. Tischfield

674 ×0.9

MB

183 ×0.7

PS

88 ×0.5

GENET

99 ×1.4

CR

67 ×1.1

CB

Citations per year, relative to Sam E. Tischfield Sam E. Tischfield (= 1×) peers James W. Westmoreland

Countries citing papers authored by Sam E. Tischfield

Since Specialization

Citations

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

Fields of papers citing papers by Sam E. Tischfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam E. Tischfield. 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 Sam E. Tischfield. The network helps show where Sam E. Tischfield may publish in the future.

Co-authorship network of co-authors of Sam E. Tischfield

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

All Works

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12 of 12 papers shown

1.

Wang, Mengxiong, Kathryn Bieging-Rolett, Alyssa M. Kaiser, et al.. (2025). p53 Drives Lung Cancer Regression through a TSC2/TFEB-dependent Senescence Program. Cancer Discovery. 16(2). 391–411.

2.

Elkrief, Arielle, Biagio Ricciuti, Joao V. Alessi, et al.. (2025). Gene Copy Deletion of STK11, KEAP1, and SMARCA4: Clinicopathologic Features and Association With the Outcomes of Immunotherapy With or Without Chemotherapy in Nonsquamous NSCLC. Journal of Thoracic Oncology. 20(6). 725–738. 3 indexed citations

3.

Elkrief, Arielle, Igor Odintsov, Vladimir Markov, et al.. (2023). Combination Therapy With MDM2 and MEK Inhibitors Is Effective in Patient-Derived Models of Lung Adenocarcinoma With Concurrent Oncogenic Drivers and MDM2 Amplification. Journal of Thoracic Oncology. 18(9). 1165–1183. 13 indexed citations

4.

Offin, Michael, Jennifer L. Sauter, Sam E. Tischfield, et al.. (2022). Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library. Genome Medicine. 14(1). 127–127. 3 indexed citations

5.

Bouuaert, Corentin Claeys, Sam E. Tischfield, Eleni P. Mimitou, et al.. (2021). Structural and functional characterization of the Spo11 core complex. Nature Structural & Molecular Biology. 28(1). 92–102. 43 indexed citations

6.

Caeser, Rebecca, Emily A. Costa, Vidushi Durani, et al.. (2021). MAPK pathway activation selectively inhibits ASCL1-driven small cell lung cancer. iScience. 24(11). 103224–103224. 20 indexed citations

7.

Yamada, Shintaro, Seoyoung Kim, Sam E. Tischfield, et al.. (2017). Genomic and chromatin features shaping meiotic double-strand break formation and repair in mice. Cell Cycle. 16(20). 1870–1884. 43 indexed citations

8.

Lange, Julian, Shintaro Yamada, Sam E. Tischfield, et al.. (2016). The Landscape of Mouse Meiotic Double-Strand Break Formation, Processing, and Repair. Cell. 167(3). 695–708.e16. 194 indexed citations

9.

Sasaki, Mariko, Sam E. Tischfield, Megan van Overbeek, & Scott Keeney. (2013). Meiotic Recombination Initiation in and around Retrotransposable Elements in Saccharomyces cerevisiae. PLoS Genetics. 9(8). e1003732–e1003732. 24 indexed citations

10.

Tischfield, Sam E. & Scott Keeney. (2012). Scale matters. Cell Cycle. 11(8). 1496–1503. 48 indexed citations

11.

Pan, Jing, Mariko Sasaki, R. Kniewel, et al.. (2011). A Hierarchical Combination of Factors Shapes the Genome-wide Topography of Yeast Meiotic Recombination Initiation. Cell. 144(5). 719–731. 418 indexed citations

12.

Egyud, Matthew, Zofia K. Z. Gajdos, Johannah L. Butler, et al.. (2009). Use of weighted reference panels based on empirical estimates of ancestry for capturing untyped variation. Human Genetics. 125(3). 295–303. 17 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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