Erika M. Batchelder

943 total citations
9 papers, 719 citations indexed

About

Erika M. Batchelder is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Erika M. Batchelder has authored 9 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Genetics. Recurrent topics in Erika M. Batchelder's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers) and Genetic Syndromes and Imprinting (2 papers). Erika M. Batchelder is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers) and Genetic Syndromes and Imprinting (2 papers). Erika M. Batchelder collaborates with scholars based in United States, Spain and Germany. Erika M. Batchelder's co-authors include Juan Carlos Izpisúa Belmonte, Athanasia D. Panopoulos, Sergio Ruiz, Kun Zhang, Nongluk Plongthongkum, Dinh Diep, Yasuyuki S. Kida, Defne Yarar, Ralf Tautenhahn and W. Travis Berggren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Erika M. Batchelder

9 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erika M. Batchelder United States	8	620	99	97	92	82	9	719
Magdaline Costa Australia	13	623 1.0×	62 0.6×	146 1.5×	120 1.3×	45 0.5×	16	742
Guizhong Cui China	12	608 1.0×	91 0.9×	48 0.5×	54 0.6×	40 0.5×	31	744
Margaret Lutz United States	6	1.1k 1.7×	118 1.2×	154 1.6×	112 1.2×	124 1.5×	7	1.2k
Stephanie Brown United Kingdom	9	1.0k 1.7×	141 1.4×	168 1.7×	107 1.2×	40 0.5×	10	1.1k
Sandii N. Brimble United States	7	610 1.0×	25 0.3×	113 1.2×	212 2.3×	61 0.7×	8	684
Jong‐Hee Lee South Korea	11	341 0.6×	32 0.3×	56 0.6×	77 0.8×	48 0.6×	26	459
Peter D. Tonge Canada	12	337 0.5×	64 0.6×	70 0.7×	117 1.3×	28 0.3×	12	455
Adam Yates United Kingdom	7	938 1.5×	43 0.4×	70 0.7×	74 0.8×	35 0.4×	7	1.0k
Usha Nagavarapu United States	10	343 0.6×	94 0.9×	39 0.4×	35 0.4×	81 1.0×	13	611

Countries citing papers authored by Erika M. Batchelder

Since Specialization

Citations

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

Fields of papers citing papers by Erika M. Batchelder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika M. Batchelder

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

9 of 9 papers shown

Ruiz, Sergio, Athurva Gore, Zhe Li, et al.. (2013). Analysis of protein-coding mutations in hiPSCs and their possible role during somatic cell reprogramming. Nature Communications. 4(1). 1382–1382. 46 indexed citations

Ruiz, Sergio, Athanasia D. Panopoulos, Núria Montserrat, et al.. (2012). Generation of a Drug-inducible Reporter System to Study Cell Reprogramming in Human Cells. Journal of Biological Chemistry. 287(48). 40767–40778. 14 indexed citations

Yang, Shenglian, Thomas Leeuw, Uwe Dietz, et al.. (2012). Compound screening platform using human induced pluripotent stem cells to identify small molecules that promote chondrogenesis. Protein & Cell. 3(12). 934–942. 27 indexed citations

Ruiz, Sergio, Dinh Diep, Athurva Gore, et al.. (2012). Identification of a specific reprogramming-associated epigenetic signature in human induced pluripotent stem cells. Proceedings of the National Academy of Sciences. 109(40). 16196–16201. 117 indexed citations

Panopoulos, Athanasia D., et al.. (2011). Rapid and Highly Efficient Generation of Induced Pluripotent Stem Cells from Human Umbilical Vein Endothelial Cells. PLoS ONE. 6(5). e19743–e19743. 40 indexed citations

Panopoulos, Athanasia D., Óscar Yanes, Sergio Ruiz, et al.. (2011). The metabolome of induced pluripotent stem cells reveals metabolic changes occurring in somatic cell reprogramming. Cell Research. 22(1). 168–177. 405 indexed citations

Batchelder, Erika M. & Defne Yarar. (2010). Differential Requirements for Clathrin-dependent Endocytosis at Sites of Cell–Substrate Adhesion. Molecular Biology of the Cell. 21(17). 3070–3079. 54 indexed citations

Dobrovic, Alexander, et al.. (1993). Imprinting and loss of ABO antigens in leukemia.. Blood. 82(5). 1684–5. 9 indexed citations

Dobrovic, Alexander, et al.. (1993). Imprinting and loss of ABO antigens in leukemia [letter]. Blood. 82(5). 1684–1685. 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.

Explore authors with similar magnitude of impact