Micha Baum

1.6k total citations
64 papers, 1.1k citations indexed

About

Micha Baum is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Micha Baum has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Reproductive Medicine, 30 papers in Public Health, Environmental and Occupational Health and 29 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Micha Baum's work include Assisted Reproductive Technology and Twin Pregnancy (23 papers), Reproductive Biology and Fertility (22 papers) and Ovarian function and disorders (19 papers). Micha Baum is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (23 papers), Reproductive Biology and Fertility (22 papers) and Ovarian function and disorders (19 papers). Micha Baum collaborates with scholars based in Israel, United States and Spain. Micha Baum's co-authors include Ariel Hourvitz, Ettie Maman, Jehoshua Dor, Daniel S. Seidman, Gil Yerushalmi, Ronit Machtinger, Jacob Levron, Eyal Schiff, Alon Kedem and Liat Lerner‐Geva and has published in prestigious journals such as Scientific Reports, The FASEB Journal and American Journal of Obstetrics and Gynecology.

In The Last Decade

Micha Baum

57 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micha Baum Israel 21 528 515 381 359 168 64 1.1k
Jan-Steffen Krüssel Germany 22 659 1.2× 727 1.4× 196 0.5× 303 0.8× 523 3.1× 72 1.4k
Molly B. Moravek United States 22 540 1.0× 1.0k 2.0× 162 0.4× 368 1.0× 103 0.6× 92 1.5k
Kjell Wånggren Sweden 19 456 0.9× 456 0.9× 307 0.8× 115 0.3× 126 0.8× 41 893
Mindy S. Christianson United States 19 542 1.0× 550 1.1× 353 0.9× 111 0.3× 70 0.4× 87 1.1k
Patricia G. Oppelt Germany 21 427 0.8× 407 0.8× 161 0.4× 482 1.3× 143 0.9× 50 1.3k
Lynne Robinson United Kingdom 12 573 1.1× 591 1.1× 131 0.3× 104 0.3× 120 0.7× 22 1.1k
Kara N. Goldman United States 17 557 1.1× 586 1.1× 267 0.7× 144 0.4× 51 0.3× 64 936
D. M. Saunders Australia 19 446 0.8× 604 1.2× 508 1.3× 174 0.5× 129 0.8× 57 1.1k
Ido Ben‐Ami Israel 19 483 0.9× 396 0.8× 222 0.6× 154 0.4× 85 0.5× 48 915
Martha Dirnfeld Israel 23 890 1.7× 1.1k 2.2× 503 1.3× 169 0.5× 218 1.3× 75 1.6k

Countries citing papers authored by Micha Baum

Since Specialization
Citations

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

Fields of papers citing papers by Micha Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micha Baum

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

All Works

20 of 20 papers shown
1.
Maman, Ettie, Micha Baum, Michal Youngster, et al.. (2024). MACHINE LEARNING PREDICTIVE MODELING FOR MATURE OOCYTE RETRIEVAL: A TRANSCONTINENTAL STUDY WITH VARIOUS TREATMENT PROTOCOLS. Fertility and Sterility. 122(4). e146–e147.
2.
Youngster, Michal, et al.. (2023). Artificial intelligence in the service of intrauterine insemination and timed intercourse in spontaneous cycles. Fertility and Sterility. 120(5). 1004–1012. 7 indexed citations
3.
Maman, Ettie, Eli Y. Adashi, Micha Baum, & Ariel Hourvitz. (2023). Prediction of ovulation: new insight into an old challenge. Scientific Reports. 13(1). 20003–20003. 7 indexed citations
4.
Youngster, Michal, Sarit Avraham, Itai Gat, et al.. (2022). The impact of past COVID-19 infection on pregnancy rates in frozen embryo transfer cycles. Journal of Assisted Reproduction and Genetics. 39(7). 1565–1570. 18 indexed citations
5.
Shpungin, Sally, et al.. (2022). The Fer tyrosine kinase protects sperm from spontaneous acrosome reaction. Developmental Biology. 487. 24–33. 2 indexed citations
6.
Avraham, Sarit, Alon Kedem, Michal Youngster, et al.. (2022). Coronavirus disease 2019 vaccination and infertility treatment outcomes. Fertility and Sterility. 117(6). 1291–1299. 25 indexed citations
7.
Youngster, Michal, Alon Kedem, Sarit Avraham, et al.. (2022). Treatment safety of ART cycles with extremely high oestradiol concentrations using GnRH agonist trigger. Reproductive BioMedicine Online. 46(3). 519–526.
9.
Yerushalmi, Gil, Tal Shavit, Sarit Avraham, et al.. (2021). Day 5 vitrified blastocyst transfer versus day 6 vitrified blastocyst transfer in oocyte donation program. Scientific Reports. 11(1). 10715–10715. 20 indexed citations
10.
Zemet, Roni, et al.. (2021). Early-onset preeclampsia – The impact of antiphospholipid antibodies on disease severity. European Journal of Obstetrics & Gynecology and Reproductive Biology. 263. 79–84. 3 indexed citations
11.
Kalter, Anat, et al.. (2019). Perinatal outcomes of intrahepatic cholestasis of pregnancy in twin versus singleton pregnancies: is plurality associated with adverse outcomes?. Archives of Gynecology and Obstetrics. 300(4). 881–887. 23 indexed citations
12.
Yung, Yuval, et al.. (2019). HAS2-AS1 is a novel LH/hCG target gene regulating HAS2 expression and enhancing cumulus cells migration. Journal of Ovarian Research. 12(1). 21–21. 32 indexed citations
13.
Yung, Yuval, Gil Yerushalmi, Micha Baum, et al.. (2019). An optimized model for hCG stimulation of human mural granulosa cell culture. Reproductive Biology. 19(1). 67–74. 4 indexed citations
14.
Haas, Jigal, Liat Lerner‐Geva, Gil Yerushalmi, et al.. (2012). Previous abortion is a positive predictor for ongoing pregnancy in the next cycle in women with repeated IVF failures. Reproductive BioMedicine Online. 25(4). 339–344. 9 indexed citations
15.
Seidman, Daniel S., et al.. (2012). Spontaneous conceptions following successful ART are not associated with premature referral. Human Reproduction. 27(8). 2380–2383. 8 indexed citations
16.
Maman, Ettie, et al.. (2010). IVF treatment should not be postponed for patients with high basal FSH concentrations. Reproductive BioMedicine Online. 21(5). 631–635. 1 indexed citations
17.
Hourvitz, Ariel, Ronit Machtinger, Ettie Maman, et al.. (2009). Assisted reproduction in women over 40years of age: how old is too old?. Reproductive BioMedicine Online. 19(4). 599–603. 68 indexed citations
18.
Hourvitz, Ariel, Liat Lerner‐Geva, Shai E. Elizur, et al.. (2006). Role of embryo quality in predicting early pregnancy loss following assisted reproductive technology. Reproductive BioMedicine Online. 13(4). 504–509. 48 indexed citations
19.
Kreiser, Doron, Micha Baum, Daniel S. Seidman, et al.. (2004). End Tidal Carbon Monoxide Levels are Lower in Women with Gestational Hypertension and Pre-eclampsia. Journal of Perinatology. 24(4). 213–217. 49 indexed citations
20.
Köster, Frank, B. Schöpper, Micha Baum, et al.. (2003). Die Apoptoseaktivität in Cumuluszellen als ein Indikator der Eizellqualität in der Assistierten Reproduktion. Zentralblatt für Gynäkologie. 125(11). 452–457. 7 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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