Rachel M. Stansel

3.0k total citations · 1 hit paper
7 papers, 2.4k citations indexed

About

Rachel M. Stansel is a scholar working on Physiology, Molecular Biology and Plant Science. According to data from OpenAlex, Rachel M. Stansel has authored 7 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Rachel M. Stansel's work include Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (2 papers) and Iron Metabolism and Disorders (2 papers). Rachel M. Stansel is often cited by papers focused on Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (2 papers) and Iron Metabolism and Disorders (2 papers). Rachel M. Stansel collaborates with scholars based in United States. Rachel M. Stansel's co-authors include Jack D. Griffith, Laurey Comeau, Alessandro Bianchi, Titia de Lange, Deepa Subramanian, Ahsan Kareem, Dae Kun Kwon, Bruce R. Ellingwood, N. Alice Yamada and Elizabeth M. Rohlfs and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Rachel M. Stansel

6 papers receiving 2.3k 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.

Mammalian Telomeres End in a Large Duplex Loop

1999 1.9k citations Jack D. Griffith, Laurey Comeau et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel M. Stansel United States	6	1.9k	1.7k	332	314	148	7	2.4k
Margaret A. Strong United States	15	1.7k 0.9×	1.1k 0.6×	403 1.2×	185 0.6×	118 0.8×	20	2.2k
Daryll K. Green United Kingdom	7	1.4k 0.8×	875 0.5×	278 0.8×	173 0.6×	117 0.8×	9	1.9k
Robert R. Adams United States	4	1.8k 1.0×	1.5k 0.9×	184 0.6×	118 0.4×	150 1.0×	6	2.2k
Candy Haggblom United States	12	947 0.5×	1.2k 0.7×	181 0.5×	183 0.6×	127 0.9×	15	1.5k
R. Pruzan United States	8	899 0.5×	808 0.5×	78 0.2×	91 0.3×	64 0.4×	10	1.2k
Richard Beswick United Kingdom	18	878 0.5×	870 0.5×	68 0.2×	106 0.3×	122 0.8×	20	1.4k
Emily J. Wood United States	7	648 0.3×	967 0.6×	110 0.3×	51 0.2×	40 0.3×	8	1.3k
Jyothi Gupta Canada	5	787 0.4×	495 0.3×	70 0.2×	42 0.1×	60 0.4×	9	931
Andrés Canela United States	10	336 0.2×	1.1k 0.6×	89 0.3×	197 0.6×	178 1.2×	11	1.3k
Matthew F. Pech United States	8	472 0.3×	643 0.4×	96 0.3×	35 0.1×	53 0.4×	8	903

Countries citing papers authored by Rachel M. Stansel

Since Specialization

Citations

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

Fields of papers citing papers by Rachel M. Stansel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel M. Stansel. 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 Rachel M. Stansel. The network helps show where Rachel M. Stansel may publish in the future.

Co-authorship network of co-authors of Rachel M. Stansel

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel M. Stansel. A scholar is included among the top collaborators of Rachel M. Stansel 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 Rachel M. Stansel. Rachel M. Stansel 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.

Griffith, Jack D., Rachel M. Stansel, & Titia de Lange. (2020). T-loop assembly in vitro involves binding of TRF2 near the 3' telomeric overhang. UNC Libraries.

2.

Kwon, Dae Kun, Ahsan Kareem, Rachel M. Stansel, & Bruce R. Ellingwood. (2015). Wind load factors for dynamically sensitive structures with uncertainties. Engineering Structures. 103. 53–62. 14 indexed citations

3.

Stansel, Rachel M., Deepa Subramanian, & Jack D. Griffith. (2002). p53 Binds Telomeric Single Strand Overhangs and t-Loop Junctions in Vitro. Journal of Biological Chemistry. 277(14). 11625–11628. 48 indexed citations

4.

Stansel, Rachel M.. (2001). T-loop assembly in vitro involves binding of TRF2 near the 3' telomeric overhang. The EMBO Journal. 20(19). 5532–5540. 401 indexed citations

5.

Griffith, Jack D., et al.. (1999). Mammalian Telomeres End in a Large Duplex Loop. Cell. 97(4). 503–514. 1872 indexed citations breakdown →

6.

Lubin, Ira M., N. Alice Yamada, Rachel M. Stansel, et al.. (1999). HFE genotyping using multiplex allele-specific polymerase chain reaction and capillary electrophoresis.. PubMed. 123(12). 1177–81. 8 indexed citations

7.

Lubin, Ira M., N. Alice Yamada, Rachel M. Stansel, et al.. (1999). HFE Genotyping Using Multiplex Allele-Specific Polymerase Chain Reaction and Capillary Electrophoresis. Archives of Pathology & Laboratory Medicine. 123(12). 1177–1181. 7 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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