Stephanie Schatzman-Bone

565 total citations
9 papers, 418 citations indexed

About

Stephanie Schatzman-Bone is a scholar working on Surgery, Molecular Biology and General Health Professions. According to data from OpenAlex, Stephanie Schatzman-Bone has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 2 papers in General Health Professions. Recurrent topics in Stephanie Schatzman-Bone's work include Mitochondrial Function and Pathology (2 papers), Innovations in Medical Education (2 papers) and Hospital Admissions and Outcomes (2 papers). Stephanie Schatzman-Bone is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Innovations in Medical Education (2 papers) and Hospital Admissions and Outcomes (2 papers). Stephanie Schatzman-Bone collaborates with scholars based in United States and Canada. Stephanie Schatzman-Bone's co-authors include Kristen Alexa, Wolfram Goessling, Jun Peng, Warren M. Zapol, Olga Goldberger, Isha H. Jain, Neville E. Sanjana, L. Zazzeron, Ophir Shalem and Harveen Dhillon and has published in prestigious journals such as Science, Development and Developmental Biology.

In The Last Decade

Stephanie Schatzman-Bone

6 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephanie Schatzman-Bone United States	3	288	87	74	55	54	9	418
M. Isabel G. Lopez Sanchez Australia	15	565 2.0×	99 1.1×	42 0.6×	42 0.8×	93 1.7×	24	696
Florence H. J. van Tienen Netherlands	8	271 0.9×	54 0.6×	23 0.3×	34 0.6×	137 2.5×	12	417
Mohammad Taghi Akbari Iran	12	170 0.6×	46 0.5×	26 0.4×	67 1.2×	45 0.8×	57	492
Maiken Lise Marcker Espersen Denmark	7	185 0.6×	23 0.3×	55 0.7×	83 1.5×	50 0.9×	10	383
Kristin E. Follman United States	6	171 0.6×	19 0.2×	87 1.2×	19 0.3×	60 1.1×	9	333
Jyung Mean Son United States	8	315 1.1×	32 0.4×	53 0.7×	19 0.3×	160 3.0×	8	460
Hitoshi Matsuo Japan	9	301 1.0×	142 1.6×	26 0.4×	76 1.4×	65 1.2×	10	439
Tomoko Lee Japan	14	317 1.1×	61 0.7×	20 0.3×	51 0.9×	44 0.8×	43	400
Liangjie Jia China	5	213 0.7×	17 0.2×	95 1.3×	22 0.4×	107 2.0×	8	436

Countries citing papers authored by Stephanie Schatzman-Bone

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie Schatzman-Bone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie Schatzman-Bone. 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 Stephanie Schatzman-Bone. The network helps show where Stephanie Schatzman-Bone may publish in the future.

Co-authorship network of co-authors of Stephanie Schatzman-Bone

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

All Works

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9 of 9 papers shown

Schatzman-Bone, Stephanie, et al.. (2025). Retrospective Cohort Study of Mesh-Related Complications of Minimally Invasive Sacrocervicopexy in 603 cases. International Urogynecology Journal. 36(8). 1671–1677.

Schatzman-Bone, Stephanie, et al.. (2025). Building a supportive clinical learning environment: Orienting newly licensed nurses to their impact on the professional development of physician trainees. Medical Teacher. 47(9). 1435–1437.

Shen, Jing, et al.. (2024). Reasons for Missed Appointments. Urogynecology. 31(12). 1109–1116.

Winkel, Abigail Ford, Helen Morgan, Maya M. Hammoud, et al.. (2024). Burnout and Well-Being in Trainees: Findings From a National Survey of US Obstetrics and Gynecology Residents. Journal of Graduate Medical Education. 16(5). 572–580. 2 indexed citations

Schatzman-Bone, Stephanie, et al.. (2023). Risk Factors for Missed Appointments at a Multisite Academic Urban Urogynecology Practice. Urogynecology. 30(4). 406–412. 2 indexed citations

Jain, Isha H., L. Zazzeron, Kristen Alexa, et al.. (2016). Hypoxia as a therapy for mitochondrial disease. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

Nissim, Sahar, Olivia Weeks, Jared C. Talbot, et al.. (2016). Iterative use of nuclear receptor Nr5a2 regulates multiple stages of liver and pancreas development. Developmental Biology. 418(1). 108–123. 31 indexed citations

Jain, Isha H., L. Zazzeron, Kristen Alexa, et al.. (2016). Hypoxia as a therapy for mitochondrial disease. Science. 352(6281). 54–61. 336 indexed citations

Liu, Leah Y., Kristen Alexa, Mauricio Cortes, et al.. (2016). Cannabinoid receptor signaling regulates liver development and metabolism. Development. 143(4). 609–622. 46 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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