Miriam Adam

1.5k total citations
10 papers, 348 citations indexed

About

Miriam Adam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Miriam Adam has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Miriam Adam's work include CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Miriam Adam is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Miriam Adam collaborates with scholars based in United States, Israel and Mexico. Miriam Adam's co-authors include Ernest Fraenkel, Pamela Milani, Natasha Leanna Patel-Murray, Gabriela Pregernig, Samuel W. Kazer, Mario Hermann, Samuel D. Perli, Alan S.L. Wong, Timothy K. Lu and Cheryl H. Cui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Miriam Adam

10 papers receiving 343 citations

Peers

Miriam Adam

MB

GENET

CMN

CR

CTM

Changyu Fan United States

Jai Prakash Pandey United States

Audald Lloret‐Villas Switzerland

Taryn E. Gillies United States

Melissa Scott United States

Kyung Dae Ko United States

Dominique Guillet Canada

Oded Sandler Israel

Kathiresan Natarajan India

Yuki Shindo Japan

Changyu Fan United States

Miriam Adam

431 ×1.5

MB

57 ×1.4

GENET

15 ×0.5

CMN

32 ×1.6

CR

27 ×1.4

CTM

Citations per year, relative to Miriam Adam Miriam Adam (= 1×) peers Changyu Fan

Countries citing papers authored by Miriam Adam

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Adam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Adam

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

All Works

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10 of 10 papers shown

1.

Shaharabani, Rona, Miriam Adam, Eliel Ben-David, et al.. (2023). Non-invasive assessment of normal and impaired iron homeostasis in the brain. Nature Communications. 14(1). 5467–5467. 11 indexed citations

2.

Joseph-Strauss, Daphna, Ayelet Rahat, Miriam Adam, et al.. (2021). Early sample tagging and pooling enables simultaneous SARS-CoV-2 detection and variant sequencing. Science Translational Medicine. 13(618). eabj2266–eabj2266. 9 indexed citations

3.

Hernandez, Sarah, Ryan G. Lim, Miriam Adam, et al.. (2020). Aberrant Development Corrected in Adult-Onset Huntington's Disease iPSC-Derived Neuronal Cultures via WNT Signaling Modulation. Stem Cell Reports. 14(3). 406–419. 35 indexed citations

4.

Patel-Murray, Natasha Leanna, et al.. (2020). A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules. Scientific Reports. 10(1). 954–954. 61 indexed citations

5.

Kedaigle, Amanda J., Jack C. Reidling, Ryan G. Lim, et al.. (2019). Treatment with JQ1, a BET bromodomain inhibitor, is selectively detrimental to R6/2 Huntington’s disease mice. Human Molecular Genetics. 29(2). 202–215. 12 indexed citations

6.

Puligandla, Mäneka, Donna Neuberg, Christine R. Bryke, et al.. (2018). Characteristics of myeloproliferative neoplasms in patients exposed to ionizing radiation following the Chernobyl nuclear accident. American Journal of Hematology. 94(1). 62–73. 7 indexed citations

7.

Shelley, Brandon, Berhan Mandefro, Dhruv Sareen, et al.. (2016). Cell freezing protocol suitable for ATAC-Seq on motor neurons derived from human induced pluripotent stem cells. DSpace@MIT (Massachusetts Institute of Technology). 35 indexed citations

8.

Milani, Pamela, Renan Escalante-Chong, Brandon Shelley, et al.. (2016). Cell freezing protocol suitable for ATAC-Seq on motor neurons derived from human induced pluripotent stem cells. Scientific Reports. 6(1). 25474–25474. 2 indexed citations

9.

Wong, Alan S.L., Gigi C.G. Choi, Cheryl H. Cui, et al.. (2016). Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM. Proceedings of the National Academy of Sciences. 113(9). 2544–2549. 175 indexed citations

10.

Adam, Miriam, et al.. (1970). Thyroid Function in Euthyroid Jamaicans. The Journal of Clinical Endocrinology & Metabolism. 31(4). 450–452. 1 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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