Michael D. Scheiber

618 total citations
18 papers, 397 citations indexed

About

Michael D. Scheiber is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Michael D. Scheiber has authored 18 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Reproductive Medicine, 8 papers in Public Health, Environmental and Occupational Health and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Michael D. Scheiber's work include Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (5 papers) and Reproductive Health and Technologies (5 papers). Michael D. Scheiber is often cited by papers focused on Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (5 papers) and Reproductive Health and Technologies (5 papers). Michael D. Scheiber collaborates with scholars based in United States, Denmark and Netherlands. Michael D. Scheiber's co-authors include Robert W. Rebar, James Liu, M.T.R. Subbiah, Kenneth D.R. Setchell, Kambiz Dowlatshahi, Ricardo S. Cajulis, George L. Wied, Jared C. Robins, Serena H. Chen and Sherif G. Awadalla and has published in prestigious journals such as Endocrinology, American Journal of Obstetrics and Gynecology and The Journal of Urology.

In The Last Decade

Michael D. Scheiber

17 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Scheiber United States 9 201 80 77 76 68 18 397
Pascale This France 11 143 0.7× 74 0.9× 69 0.9× 219 2.9× 69 1.0× 32 468
Loredana Costabile Italy 9 160 0.8× 152 1.9× 82 1.1× 130 1.7× 117 1.7× 11 387
U. Omodei Italy 10 142 0.7× 136 1.7× 192 2.5× 208 2.7× 24 0.4× 20 529
Margaret Nachtigall United States 9 114 0.6× 230 2.9× 126 1.6× 167 2.2× 85 1.3× 16 627
A. O. Mueck Germany 9 43 0.2× 108 1.4× 99 1.3× 118 1.6× 97 1.4× 33 331
B Gullberg Sweden 7 57 0.3× 25 0.3× 91 1.2× 111 1.5× 240 3.5× 8 466
Hamid Farahani Iran 13 68 0.3× 26 0.3× 109 1.4× 30 0.4× 17 0.3× 32 329
Gioacchino Mollica Italy 13 45 0.2× 22 0.3× 126 1.6× 108 1.4× 48 0.7× 17 373
Norito Kawakami Japan 9 126 0.6× 14 0.2× 54 0.7× 48 0.6× 92 1.4× 11 343
Cristina Bellati Italy 7 43 0.2× 27 0.3× 42 0.5× 80 1.1× 69 1.0× 7 356

Countries citing papers authored by Michael D. Scheiber

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Scheiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Scheiber. 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 Michael D. Scheiber. The network helps show where Michael D. Scheiber may publish in the future.

Co-authorship network of co-authors of Michael D. Scheiber

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

All Works

18 of 18 papers shown
1.
Scheiber, Michael D., Kevin J. Doody, Eric D. Foster, et al.. (2023). OVARIAN STIMULATION WITH FE 999049 IS EFFICACIOUS AND SAFE IN WOMEN 18-34 YEARS OF AGE: PRIMARY FINDINGS OF THE RITA-1 REGISTRATION TRIAL. Fertility and Sterility. 120(4). e237–e237. 1 indexed citations
2.
Doody, Kevin J., Michael D. Scheiber, Eric D. Foster, et al.. (2023). OVARIAN STIMULATION WITH FE 999049 IS EFFICACIOUS AND SAFE IN WOMEN 35-42 YEARS OF AGE: PRIMARY FINDINGS OF THE RITA-2 REGISTRATION TRIAL. Fertility and Sterility. 120(4). e101–e101. 1 indexed citations
3.
Scheiber, Michael D. & Serena H. Chen. (2016). A Prospective Multicenter Registry of Patients Undergoing Hysteroscopic Morcellation of Uterine Polyps and Myomas. Journal of Gynecologic Surgery. 32(6). 318–323. 17 indexed citations
4.
Sh, Chen, et al.. (2016). Fertility Outcomes After Hysteroscopic Morcellation of Intrauterine Leiomyomas and Polyps.. PubMed. 61(7-8). 327–335. 4 indexed citations
5.
Scheiber, Michael D., Barbara J. Stegmann, K. Gordon, & Paul E. Verweij. (2013). Impact of body mass index on the number and quality of embryos obtained following ovarian stimulation with corifollitropin alfa or recombinant FSH in IVF centers in north america. Fertility and Sterility. 100(3). S18–S18. 1 indexed citations
6.
Scheiber, Michael D. & James Liu. (2009). The Use of Gonadotropin-Releasing Hormone to Induce Ovulation. The Global Library of Women s Medicine. 6 indexed citations
7.
Robins, Jared C., et al.. (2006). The Motility of Epididymal or Testicular Spermatozoa Does Not Directly Affect IVF/ICSI Pregnancy Outcomes. The Journal of Urology. 175(3). 1055–1055. 2 indexed citations
8.
MORRIS, ROGER S., et al.. (2006). P-93. Fertility and Sterility. 86(3). S164–S164. 7 indexed citations
9.
Robins, Jared C., et al.. (2005). The Motility of Epididymal or Testicular Spermatozoa Does Not Directly Affect IVF/ICSI Pregnancy Outcomes. Journal of Andrology. 26(5). 619–623. 12 indexed citations
10.
Scheiber, Michael D., et al.. (2002). Pituitary Tumorigenesis in Prolactin Gene-Disrupted Mice. Endocrinology. 143(11). 4429–4436. 23 indexed citations
11.
Robins, Jared C., et al.. (2001). Racial and economic demographics of couples seeking infertility treatment. American Journal of Obstetrics and Gynecology. 184(6). 1080–1082. 36 indexed citations
12.
Scheiber, Michael D., James Liu, M.T.R. Subbiah, Robert W. Rebar, & Kenneth D.R. Setchell. (2001). Dietary inclusion of whole soy foods results in significant reductions in clinical risk factors for osteoporosis and cardiovascular disease in normal postmenopausal women. Menopause The Journal of The North American Menopause Society. 8(5). 384–392. 133 indexed citations
13.
Robins, Jared C., et al.. (2000). Racial and Economic Demographics of Couples Seeking Infertility Treatment. Fertility and Sterility. 74(3). S182–S182.
14.
15.
Scheiber, Michael D. & Robert W. Rebar. (1999). Isoflavones and Postmenopausal Bone Health: A Viable Alternative to Estrogen Therapy?. Menopause The Journal of The North American Menopause Society. 6(3). 233–241. 53 indexed citations
16.
Abplanalp, William, et al.. (1998). Potential role of HDL in mediating the antioxidant effect of estrogens on LDL peroxidation. Journal of the Society for Gynecologic Investigation. 5(1). 101A–101A. 1 indexed citations
17.
Scheiber, Michael D. & Neal Halfon. (1990). Immunizing California's children. Effects of current policies on immunization levels.. PubMed. 153(4). 400–5. 8 indexed citations
18.
Scheiber, Michael D., et al.. (1988). Stereotaxic fine needle aspiration cytology of clinically occult malignant and premalignant breast lesions.. PubMed. 32(2). 193–201. 58 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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