Michelle Leff

727 total citations
9 papers, 558 citations indexed

About

Michelle Leff is a scholar working on Pediatrics, Perinatology and Child Health, Health Information Management and Information Systems and Management. According to data from OpenAlex, Michelle Leff has authored 9 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 2 papers in Health Information Management and 2 papers in Information Systems and Management. Recurrent topics in Michelle Leff's work include Breastfeeding Practices and Influences (2 papers), Electronic Health Records Systems (2 papers) and Infant Health and Development (2 papers). Michelle Leff is often cited by papers focused on Breastfeeding Practices and Influences (2 papers), Electronic Health Records Systems (2 papers) and Infant Health and Development (2 papers). Michelle Leff collaborates with scholars based in United States. Michelle Leff's co-authors include Jeannette L. Johnson, Alane S. Kimes, Carlo Contoreggi, Karen I. Bolla, Monique Ernst, John A. Matochik, Dana Eldreth, Edythe D. London, Kyung E. Rhee and Mustapha Mezghanni and has published in prestigious journals such as American Journal of Psychiatry, PEDIATRICS and Clinics in Perinatology.

In The Last Decade

Michelle Leff

9 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Leff United States	4	191	167	158	148	142	9	558
Katherine A. Belendiuk United States	14	239 1.3×	175 1.0×	105 0.7×	60 0.4×	93 0.7×	22	573
Stacy R. Ryan United States	13	231 1.2×	104 0.6×	106 0.7×	50 0.3×	76 0.5×	24	584
Jody Kamon United States	11	293 1.5×	101 0.6×	38 0.2×	106 0.7×	101 0.7×	15	555
Maeve O’Leary-Barrett Canada	11	429 2.2×	144 0.9×	71 0.4×	56 0.4×	118 0.8×	15	814
Vesna Jordanova United Kingdom	10	203 1.1×	314 1.9×	63 0.4×	141 1.0×	105 0.7×	14	661
Tamara Fahnhorst United States	11	289 1.5×	161 1.0×	44 0.3×	58 0.4×	167 1.2×	16	540
Justin D. Winkel United States	9	170 0.9×	99 0.6×	30 0.2×	92 0.6×	93 0.7×	11	544
Brian K. Wise United States	6	297 1.6×	177 1.1×	51 0.3×	69 0.5×	64 0.5×	11	451
Elizabeth R. Disney United States	8	309 1.6×	502 3.0×	69 0.4×	190 1.3×	81 0.6×	9	920
Julie Feldman United States	10	296 1.5×	78 0.5×	62 0.4×	582 3.9×	188 1.3×	10	1.0k

Countries citing papers authored by Michelle Leff

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Leff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Leff

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Leff. A scholar is included among the top collaborators of Michelle Leff 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 Michelle Leff. Michelle Leff 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

Truong, Phuong, et al.. (2024). Application of Statistical Analysis and Machine Learning to Identify Infants’ Abnormal Suckling Behavior. IEEE Journal of Translational Engineering in Health and Medicine. 12. 435–447. 1 indexed citations

Leff, Michelle & Jaspreet Loyal. (2021). The Term Newborn. Clinics in Perinatology. 48(3). 647–663. 1 indexed citations

Lee, Mary R., Elisabeth C. Caparelli, Michelle Leff, et al.. (2019). Repetitive Transcranial Magnetic Stimulation Delivered With an H-Coil to the Right Insula Reduces Functional Connectivity Between Insula and Medial Prefrontal Cortex. Neuromodulation Technology at the Neural Interface. 23(3). 384–392. 8 indexed citations

Leff, Michelle, et al.. (2016). Effect of Exclusive Breastfeeding Among Overweight and Obese Mothers on Infant Weight-for-Length Percentile at 1 Year. Breastfeeding Medicine. 12(1). 39–47. 10 indexed citations

Lin, Jia‐Ling, et al.. (2008). Pharmacy informatics in controlled substances research.. PubMed. 1025–1025. 2 indexed citations

Vahabzadeh, Massoud, Jia‐Ling Lin, Mustapha Mezghanni, Carlo Contoreggi, & Michelle Leff. (2007). An EHR-Based Multi-Site Recruiting System for Clinical Trials. 62. 331–336. 1 indexed citations

Vahabzadeh, Massoud, Jia‐Ling Lin, Mustapha Mezghanni, Carlo Contoreggi, & Michelle Leff. (2007). A clinical recruiting management system for complex multi-site clinical trials using qualification decision support systems.. PubMed. 1141–1141. 2 indexed citations

Ernst, Monique, Alane S. Kimes, Edythe D. London, et al.. (2003). Neural Substrates of Decision Making in Adults With Attention Deficit Hyperactivity Disorder. American Journal of Psychiatry. 160(6). 1061–1070. 203 indexed citations

Johnson, Jeannette L. & Michelle Leff. (1999). Children of Substance Abusers: Overview of Research Findings. PEDIATRICS. 103(Supplement_2). 1085–1099. 330 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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