Nancy Mah

3.6k total citations · 1 hit paper
51 papers, 2.0k citations indexed

About

Nancy Mah is a scholar working on Molecular Biology, Physiology and Biomedical Engineering. According to data from OpenAlex, Nancy Mah has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 8 papers in Physiology and 8 papers in Biomedical Engineering. Recurrent topics in Nancy Mah's work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (11 papers) and Biomedical Ethics and Regulation (8 papers). Nancy Mah is often cited by papers focused on Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (11 papers) and Biomedical Ethics and Regulation (8 papers). Nancy Mah collaborates with scholars based in Germany, Canada and United States. Nancy Mah's co-authors include Miguel A. Andrade‐Navarro, Jens Peter von Kries, Florian Ullrich, Thomas J. Jentsch, Katina Lazarow, Tobias Stauber, Stefan Schreiber, Christine Costello, Dae‐Kyun Ro and Brian E. Ellis and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Nancy Mah

50 papers receiving 2.0k citations

Hit Papers

Identification of LRRC8 Heteromers as an Essential Compon... 2014 2026 2018 2022 2014 100 200 300 400
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.

  1. Identification of LRRC8 Heteromers as an Essential Component of the Volume-Regulated Anion Channel VRAC
    2014 483 citations Nancy Mah, Miguel A. Andrade‐Navarro et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy Mah Germany 21 1.5k 259 247 184 175 51 2.0k
Yu Takahashi Japan 25 1.2k 0.8× 189 0.7× 238 1.0× 106 0.6× 82 0.5× 62 1.9k
Qing Yu China 22 1.0k 0.7× 219 0.8× 171 0.7× 223 1.2× 120 0.7× 63 1.7k
Cathrine R. Carlson Norway 31 2.0k 1.3× 139 0.5× 251 1.0× 183 1.0× 167 1.0× 69 2.6k
Roberta Mannucci Italy 26 1.3k 0.9× 148 0.6× 139 0.6× 358 1.9× 127 0.7× 38 2.1k
Ho-Jae Lee South Korea 26 996 0.7× 212 0.8× 104 0.4× 192 1.0× 96 0.5× 75 1.8k
Bert Binas South Korea 24 1.5k 1.0× 327 1.3× 250 1.0× 216 1.2× 96 0.5× 67 2.3k
Teresa L. Johnson‐Pais United States 24 1.5k 1.0× 173 0.7× 316 1.3× 205 1.1× 434 2.5× 66 2.3k
Ying Ni United States 25 1.2k 0.8× 209 0.8× 277 1.1× 169 0.9× 103 0.6× 114 2.1k

Countries citing papers authored by Nancy Mah

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Mah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy Mah

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

All Works

20 of 20 papers shown
1.
Wells, Christine A., Anke Guhr, Amos Bairoch, et al.. (2024). Guidelines for managing and using the digital phenotypes of pluripotent stem cell lines. Stem Cell Reports. 19(10). 1369–1378. 3 indexed citations
2.
Isasi, Rosario, Heidi Beate Bentzen, Joel C. Glover, et al.. (2024). Dynamic governance: A new era for consent for stem cell research. Stem Cell Reports. 19(9). 1233–1241. 6 indexed citations
3.
4.
Stacey, Glyn, et al.. (2023). History and current status of clinical studies using human pluripotent stem cells. Stem Cell Reports. 18(8). 1592–1598. 24 indexed citations
5.
6.
Steeg, Rachel, Sabine Mueller, Nancy Mah, et al.. (2021). EBiSC best practice: How to ensure optimal generation, qualification, and distribution of iPSC lines. Stem Cell Reports. 16(8). 1853–1867. 28 indexed citations
7.
Mah, Nancy, Stefanie Seltmann, Begoña Arán, et al.. (2020). Access to stem cell data and registration of pluripotent cell lines: The Human Pluripotent Stem Cell Registry (hPSCreg). Stem Cell Research. 47. 101887–101887. 15 indexed citations
8.
Farschtschi, Said, Lan Kluwe, Sujin Park, et al.. (2020). Upregulated immuno-modulator PD-L1 in malignant peripheral nerve sheath tumors provides a potential biomarker and a therapeutic target. Cancer Immunology Immunotherapy. 69(7). 1307–1313. 11 indexed citations
9.
Isasi, Rosario, et al.. (2019). A pathway for attesting ethical provenance of cell lines: Lessons from the European human pluripotent stem cell registry (hPSCreg). Stem Cell Research. 40. 101539–101539. 7 indexed citations
10.
Schulz, Julia, Nancy Mah, Martin Neuenschwander, et al.. (2018). Loss-of-function uORF mutations in human malignancies. Scientific Reports. 8(1). 2395–2395. 46 indexed citations
11.
Stachelscheid, Harald, Stefanie Seltmann, Fritz Lekschas, et al.. (2013). CellFinder: a cell data repository. Nucleic Acids Research. 42(D1). D950–D958. 22 indexed citations
12.
Schaefer, Martin H., Tiago J. S. Lopes, Nancy Mah, et al.. (2013). Adding Protein Context to the Human Protein-Protein Interaction Network to Reveal Meaningful Interactions. PLoS Computational Biology. 9(1). e1002860–e1002860. 59 indexed citations
13.
Häsler, Robert, Martin Kerick, Nancy Mah, et al.. (2011). Alterations of pre-mRNA splicing in human inflammatory bowel disease. European Journal of Cell Biology. 90(6-7). 603–611. 38 indexed citations
14.
Muro, Enrique M., Nancy Mah, & Miguel A. Andrade‐Navarro. (2011). Functional evidence of post-transcriptional regulation by pseudogenes. Biochimie. 93(11). 1916–1921. 61 indexed citations
15.
Muro, Enrique M., Nancy Mah, Gabriel Moreno‐Hagelsieb, & Miguel A. Andrade‐Navarro. (2010). The pseudogenes of Mycobacterium leprae reveal the functional relevance of gene order within operons. Nucleic Acids Research. 39(5). 1732–1738. 12 indexed citations
16.
Wang, Ying, et al.. (2010). A Transcriptional Roadmap to the Induction of Pluripotency in Somatic Cells. Stem Cell Reviews and Reports. 6(2). 282–296. 56 indexed citations
17.
Häsler, Robert, Nancy Mah, Tim Lu, et al.. (2008). From model cell line to in vivo gene expression: disease-related intestinal gene expression in IBD. Genes and Immunity. 9(3). 240–248. 14 indexed citations
18.
Rosenstiel, Philip, Klaus Huse, Christian Sina, et al.. (2005). Evaluation of AGR2 and AGR3 as candidate genes for inflammatory bowel disease. Genes and Immunity. 7(1). 11–18. 104 indexed citations
19.
Stöhr, Heidi, et al.. (2000). EST mining of the UniGene dataset to identify retina-specific genes. Cytogenetic and Genome Research. 91(1-4). 267–277. 21 indexed citations
20.
Luo, Donglin, et al.. (1996). Construction and Expression of Bi-Functional Proteins of Single-Chain Fv With Effector Domains. The Journal of Biochemistry. 120(2). 229–232. 12 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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