Micol Zweig

1.2k total citations
19 papers, 474 citations indexed

About

Micol Zweig is a scholar working on Genetics, General Health Professions and Applied Psychology. According to data from OpenAlex, Micol Zweig has authored 19 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in General Health Professions and 5 papers in Applied Psychology. Recurrent topics in Micol Zweig's work include BRCA gene mutations in cancer (5 papers), Genomics and Rare Diseases (4 papers) and Mobile Health and mHealth Applications (4 papers). Micol Zweig is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Genomics and Rare Diseases (4 papers) and Mobile Health and mHealth Applications (4 papers). Micol Zweig collaborates with scholars based in United States, Germany and United Kingdom. Micol Zweig's co-authors include Saskia C. Sanderson, Eric E. Schadt, Lynne D. Richardson, Ethylin Wang Jabs, Erwin P. Böttinger, Yu‐Feng Yvonne Chan, Sabrina A. Suckiel, Steven G. Hershman, Pei Wang and Nicole Tignor and has published in prestigious journals such as Nature Biotechnology, Gastroenterology and Journal of Medical Internet Research.

In The Last Decade

Micol Zweig

17 papers receiving 466 citations

Peers

Countries citing papers authored by Micol Zweig

Since Specialization

Citations

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

Fields of papers citing papers by Micol Zweig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micol Zweig

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Physiological Data Collected From Wearable Devices Identify and Predict Inflammatory Bowel Disease Flares 2025 ·Gastroenterology ·Robert Hirten, Matteo Danieletto, (unknown), (unknown), Kyungwon Lee, (unknown), Micol Zweig, Drew Helmus, Thomas J. Fuchs, Zahi A. Fayad, Girish N. Nadkarni, Laurie Keefer, Mayte Suárez‐Fariñas, Bruce E. Sands	14
2	Remote Short Sessions of Heart Rate Variability Biofeedback Monitored With Wearable Technology: Open-Label Prospective Feasibility Study 2024 ·JMIR Mental Health ·Robert Hirten, Matteo Danieletto, (unknown), Micol Zweig, Eddye Golden, Renata Pyzik, (unknown), Helena Chang, Drew Helmus, Bruce E. Sands, Dennis S. Charney, Girish N. Nadkarni, Emilia Bagiella, Laurie Keefer, Zahi A. Fayad	5
3	Development of the ehive Digital Health App: Protocol for a Centralized Research Platform 2023 ·JMIR Research Protocols ·Robert Hirten, Matteo Danieletto, (unknown), Micol Zweig, Eddye Golden, (unknown), (unknown), (unknown), Ipek Ensari, Erwin P. Böttinger, Girish N. Nadkarni, Thomas J. Fuchs, Zahi A. Fayad	5
4	A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort 2023 ·JAMIA Open ·Robert Hirten, Maria Suprun, Matteo Danieletto, Micol Zweig, Eddye Golden, Renata Pyzik, (unknown), Drew Helmus, (unknown), (unknown), (unknown), Erwin P. Böttinger, Laurie Keefer, Dennis S. Charney, Girish N. Nadkarni, Mayte Suárez‐Fariñas, Zahi A. Fayad	10
5	PHYSIOLOGICAL METRICS COLLECTED FROM WEARABLE DEVICES IDENTIFY INFLAMMATORY AND CLINICAL INFLAMMATORY BOWEL DISEASE FLARES 2023 ·Gastroenterology ·Robert Hirten, Matteo Danieletto, (unknown), (unknown), (unknown), Micol Zweig, Drew Helmus, (unknown), Erwin P. Böttinger, Mayte Suárez‐Fariñas, Girish N. Nadkarni, Zahi A. Fayad, Laurie Keefer, Bruce E. Sands	0
6	Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers 2022 ·JAMIA Open ·Robert Hirten, Lewis E. Tomalin, Matteo Danieletto, Eddye Golden, Micol Zweig, (unknown), Drew Helmus, (unknown), Renata Pyzik, Erwin P. Böttinger, Laurie Keefer, Dennis S. Charney, Girish N. Nadkarni, Mayte Suárez‐Fariñas, Zahi A. Fayad	14
7	StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials 2022 ·Journal of Medical Internet Research ·Stefan Konigorski, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Matteo Danieletto, Eddye Golden, Micol Zweig, Girish N. Nadkarni, Erwin P. Böttinger	9
8	A Resilience-Building App to Support the Mental Health of Health Care Workers in the COVID-19 Era: Design Process, Distribution, and Evaluation 2021 ·JMIR Formative Research ·Eddye Golden, Micol Zweig, Matteo Danieletto, (unknown), Girish N. Nadkarni, Erwin P. Böttinger, (unknown), (unknown), Vanshdeep Sharma, Craig L. Katz, Deborah B. Marin, Jonathan DePierro, Dennis S. Charney	29
9	Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data 2021 ·Journal of Medical Internet Research ·Robert Hirten, Matteo Danieletto, Lewis E. Tomalin, (unknown), Micol Zweig, Eddye Golden, (unknown), Drew Helmus, (unknown), Renata Pyzik, Claudia Calcagno, Robert Freeman, Bruce E. Sands, Dennis S. Charney, Erwin P. Böttinger, James W. Murrough, Laurie Keefer, Mayte Suárez‐Fariñas, Girish N. Nadkarni, Zahi A. Fayad	18
10	The asthma mobile health study, smartphone data collected using ResearchKit 2018 ·Scientific Data ·Yu‐Feng Yvonne Chan, Brian M. Bot, Micol Zweig, Nicole Tignor, Weiping Ma, Christine Suver, (unknown), Erick R. Scott, Steven G. Hershman, Eric E. Schadt, Pei Wang	38
11	Impacts of incorporating personal genome sequencing into graduate genomics education: a longitudinal study over three course years 2018 ·BMC Medical Genomics ·Michael D. Linderman, Saskia C. Sanderson, Ali Bashir, George A. Díaz, Andrew Kasarskis, Randi E. Zinberg, Milind Mahajan, Sabrina A. Suckiel, Micol Zweig, Eric E. Schadt	13
12	The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit 2017 ·Nature Biotechnology ·Yu‐Feng Yvonne Chan, Pei Wang, Linda Rogers, Nicole Tignor, Micol Zweig, Steven G. Hershman, Nicholas Genes, Erick R. Scott, (unknown), Marcus A. Badgeley, Ron Edgar, (unknown), Rosalind Wright, Charles A. Powell, Joel T. Dudley, Eric E. Schadt	146
13	METHODS FOR CLUSTERING TIME SERIES DATA ACQUIRED FROM MOBILE HEALTH APPS 2016 ·PubMed ·Nicole Tignor, Pei Wang, Nicholas Genes, Linda Rogers, Steven G. Hershman, Erick R. Scott, Micol Zweig, Yu‐Feng Yvonne Chan, Eric E. Schadt	7
14	Preparing the next generation of genomicists: a laboratory-style course in medical genomics 2015 ·BMC Medical Genomics ·Michael D. Linderman, Ali Bashir, George A. Díaz, Andrew Kasarskis, Saskia C. Sanderson, Randi E. Zinberg, Milind Mahajan, Hardik Shah, Sabrina A. Suckiel, Micol Zweig, Eric E. Schadt	14
15	How do students react to analyzing their own genomes in a whole-genome sequencing course?: outcomes of a longitudinal cohort study 2015 ·Genetics in Medicine ·Saskia C. Sanderson, Michael D. Linderman, Randi E. Zinberg, Ali Bashir, Andrew Kasarskis, Micol Zweig, Sabrina A. Suckiel, Hardik Shah, Milind Mahajan, George A. Díaz, Eric E. Schadt	21
16	Development and preliminary evaluation of an online educational video about whole-genome sequencing for research participants, patients, and the general public 2015 ·Genetics in Medicine ·Saskia C. Sanderson, Sabrina A. Suckiel, Micol Zweig, Erwin P. Böttinger, Ethylin Wang Jabs, Lynne D. Richardson	49
17	Paving the Way for the FAIR General Machine Timing System 2014 ·GSI Repository (GSI Helmholtzzentrum für Schwerionenforschung) ·Daniel Beck, J. Adamczewski-Musch, Jian Bai, (unknown), J. Frühauf, John F. Hoffmann, (unknown), N. Kurz, (unknown), (unknown), Wesley W. Terpstra, (unknown), Micol Zweig	0
18	Willingness to participate in genomics research and desire for personal results among underrepresented minority patients: a structured interview study 2013 ·Journal of Community Genetics ·Saskia C. Sanderson, Michael A. Diefenbach, Randi E. Zinberg, Carol R. Horowitz, (unknown), Micol Zweig, (unknown), Ethylin Wang Jabs, Lynne D. Richardson	58
19	Informed decision-making among students analyzing their personal genomes on a whole genome sequencing course: a longitudinal cohort study 2013 ·Genome Medicine ·Saskia C. Sanderson, Michael D. Linderman, Andrew Kasarskis, Ali Bashir, George A. Díaz, Milind Mahajan, Hardik Shah, Melissa Wasserstein, Randi E. Zinberg, Micol Zweig, Eric E. Schadt	24

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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