Sarah C. Merkel

1.0k total citations
8 papers, 673 citations indexed

About

Sarah C. Merkel is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sarah C. Merkel has authored 8 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Sarah C. Merkel's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (3 papers). Sarah C. Merkel is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (3 papers). Sarah C. Merkel collaborates with scholars based in United States, United Kingdom and South Korea. Sarah C. Merkel's co-authors include Bruce R. Blazar, Keli L. Hippen, Jeffrey S. Miller, James L. Riley, Carl H. June, Dawn K. Schirm, John E. Wagner, Bruce L. Levine, Darin Sumstad and Diane Kadidlo and has published in prestigious journals such as Blood, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Sarah C. Merkel

8 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah C. Merkel United States	7	562	209	144	71	70	8	673
Dawn K. Schirm United States	8	588 1.0×	264 1.3×	169 1.2×	55 0.8×	76 1.1×	8	711
Frans Maas Netherlands	13	710 1.3×	456 2.2×	291 2.0×	60 0.8×	221 3.2×	14	895
Peter J. Schnorr United States	6	177 0.3×	121 0.6×	69 0.5×	57 0.8×	122 1.7×	8	371
James C.M. Wang Canada	4	262 0.5×	221 1.1×	21 0.1×	34 0.5×	99 1.4×	6	458
Nesrine Lajmi Germany	10	268 0.5×	193 0.9×	192 1.3×	25 0.4×	183 2.6×	14	472
Rosanna M. McEwen-Smith United Kingdom	5	336 0.6×	159 0.8×	118 0.8×	26 0.4×	111 1.6×	5	482
Forhad Ahmed United Kingdom	6	196 0.3×	157 0.8×	59 0.4×	37 0.5×	113 1.6×	9	380
Amanda M. Schmidt United States	9	290 0.5×	73 0.3×	34 0.2×	23 0.3×	68 1.0×	9	355
S. Yasue Japan	9	122 0.2×	78 0.4×	86 0.6×	37 0.5×	119 1.7×	14	380
Jessica Cantrell United States	8	291 0.5×	160 0.8×	57 0.4×	18 0.3×	78 1.1×	10	396

Countries citing papers authored by Sarah C. Merkel

Since Specialization

Citations

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

Fields of papers citing papers by Sarah C. Merkel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Merkel. 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 Sarah C. Merkel. The network helps show where Sarah C. Merkel may publish in the future.

Co-authorship network of co-authors of Sarah C. Merkel

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

All Works

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8 of 8 papers shown

Hippen, Keli L., Scott N. Furlan, Rahul Roychoudhuri, et al.. (2021). Multiply restimulated human thymic regulatory T cells express distinct signature regulatory T-cell transcription factors without evidence of exhaustion. Cytotherapy. 23(8). 704–714. 8 indexed citations

Osborn, Mark J., Christopher J. Lees, Amber McElroy, et al.. (2018). CRISPR/Cas9-Based Cellular Engineering for Targeted Gene Overexpression. International Journal of Molecular Sciences. 19(4). 946–946. 15 indexed citations

Zanin‐Zhorov, Alexandra, Sudha Kumari, Keli L. Hippen, et al.. (2017). Human in vitro-induced regulatory T cells display Dlgh1 dependent and PKC-θ restrained suppressive activity. Scientific Reports. 7(1). 4258–4258. 5 indexed citations

Hippen, Keli L., Roddy S. O’Connor, Asim Saha, et al.. (2017). In Vitro Induction of Human Regulatory T Cells Using Conditions of Low Tryptophan Plus Kynurenines. American Journal of Transplantation. 17(12). 3098–3113. 24 indexed citations

McKenna, David H., Darin Sumstad, Diane Kadidlo, et al.. (2016). Optimization of cGMP purification and expansion of umbilical cord blood–derived T-regulatory cells in support of first-in-human clinical trials. Cytotherapy. 19(2). 250–262. 37 indexed citations

Hippen, Keli L., Sarah C. Merkel, Dawn K. Schirm, et al.. (2011). Generation and Large-Scale Expansion of Human Inducible Regulatory T Cells That Suppress Graft-Versus-Host Disease. American Journal of Transplantation. 11(6). 1148–1157. 180 indexed citations

Hippen, Keli L., Sarah C. Merkel, Dawn K. Schirm, et al.. (2011). Massive ex Vivo Expansion of Human Natural Regulatory T Cells (T _regs ) with Minimal Loss of in Vivo Functional Activity. Science Translational Medicine. 3(83). 83ra41–83ra41. 285 indexed citations

Hippen, Keli L., Paul Harker‐Murray, Stephen B. Porter, et al.. (2008). Umbilical cord blood regulatory T-cell expansion and functional effects of tumor necrosis factor receptor family members OX40 and 4-1BB expressed on artificial antigen-presenting cells. Blood. 112(7). 2847–2857. 119 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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