Eva K. Pressman

5.2k total citations
152 papers, 3.4k citations indexed

About

Eva K. Pressman is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Eva K. Pressman has authored 152 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Pediatrics, Perinatology and Child Health, 58 papers in Obstetrics and Gynecology and 32 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Eva K. Pressman's work include Pregnancy and preeclampsia studies (37 papers), Iron Metabolism and Disorders (31 papers) and Hemoglobinopathies and Related Disorders (27 papers). Eva K. Pressman is often cited by papers focused on Pregnancy and preeclampsia studies (37 papers), Iron Metabolism and Disorders (31 papers) and Hemoglobinopathies and Related Disorders (27 papers). Eva K. Pressman collaborates with scholars based in United States, United Kingdom and Cameroon. Eva K. Pressman's co-authors include Kimberly O’Brien, Kathleen A. Costigan, Janet A. DiPietro, Elizabeth Cooper, Ronnie Guillet, Loralei L. Thornburg, Françoise Vermeylen, James R. Woods, Melissa Hawkins and Thomas G. O’Connor and has published in prestigious journals such as Journal of Clinical Investigation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Eva K. Pressman

146 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva K. Pressman United States 35 1.3k 1.0k 843 551 422 152 3.4k
Diego F. Wyszynski United States 35 1.2k 0.9× 709 0.7× 818 1.0× 505 0.9× 807 1.9× 101 4.2k
Paul Merlob Israel 38 1.9k 1.5× 762 0.7× 1.4k 1.7× 214 0.4× 385 0.9× 248 5.2k
Richard S. Olney United States 39 1.4k 1.1× 470 0.4× 983 1.2× 419 0.8× 601 1.4× 104 4.7k
Ira M. Bernstein United States 42 2.2k 1.7× 2.3k 2.2× 842 1.0× 186 0.3× 181 0.4× 142 5.3k
Alastair H. MacLennan Australia 35 1.3k 1.0× 723 0.7× 731 0.9× 117 0.2× 181 0.4× 143 5.2k
John Studd United Kingdom 44 746 0.6× 1.2k 1.1× 1.7k 2.0× 160 0.3× 164 0.4× 208 6.4k
Christine G. Roth United States 19 542 0.4× 354 0.3× 486 0.6× 125 0.2× 117 0.3× 55 2.2k
Orit Pinhas‐Hamiel Israel 35 957 0.7× 179 0.2× 1.6k 2.0× 244 0.4× 110 0.3× 179 6.0k
Göran Berg Sweden 35 718 0.6× 1.7k 1.6× 1.4k 1.7× 229 0.4× 76 0.2× 97 4.7k
Serge Rozenberg Belgium 41 439 0.3× 440 0.4× 752 0.9× 345 0.6× 69 0.2× 227 5.0k

Countries citing papers authored by Eva K. Pressman

Since Specialization
Citations

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

Fields of papers citing papers by Eva K. Pressman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva K. Pressman. 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 Eva K. Pressman. The network helps show where Eva K. Pressman may publish in the future.

Co-authorship network of co-authors of Eva K. Pressman

This figure shows the co-authorship network connecting the top 25 collaborators of Eva K. Pressman. A scholar is included among the top collaborators of Eva K. Pressman 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 Eva K. Pressman. Eva K. Pressman 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.
Park, Clara Yongjoo, et al.. (2025). Dietary intake in East Asian and Northern European participants from the FeGenes study. European Journal of Nutrition. 64(5). 205–205.
3.
Clark, Andrew G., et al.. (2024). Associations Between Genetically Predicted Iron Status and Cardiovascular Disease Risk: A Mendelian Randomization Study. Journal of the American Heart Association. 13(11). e034991–e034991. 3 indexed citations
4.
Thappa, Devinder Mohan, Ashlee Smith, Cynthia Angel, et al.. (2023). Luteoma of pregnancy masquerading as a granulosa cell tumor. Gynecologic Oncology Reports. 46. 101163–101163. 1 indexed citations
5.
Best, Cora M., Robert Sherwood, Janet A. Novotny, et al.. (2021). Vitamin D kinetics in nonpregnant and pregnant women after a single oral dose of trideuterated vitamin D3. The Journal of Steroid Biochemistry and Molecular Biology. 216. 106034–106034. 3 indexed citations
6.
Guillet, Ronnie, Eva K. Pressman, Philip J. Katzman, et al.. (2021). Placental Iron Content Is Lower than Previously Estimated and Is Associated with Maternal Iron Status in Women at Greater Risk of Gestational Iron Deficiency and Anemia. Journal of Nutrition. 152(3). 737–746. 13 indexed citations
7.
Guillet, Ronnie, et al.. (2021). Serum Erythroferrone During Pregnancy Is Related to Erythropoietin but Does Not Predict the Risk of Anemia. Journal of Nutrition. 151(7). 1824–1833. 13 indexed citations
10.
Guillet, Ronnie, Eva K. Pressman, Laura E. Caulfield, et al.. (2020). Iron absorption during pregnancy is underestimated when iron utilization by the placenta and fetus is ignored. American Journal of Clinical Nutrition. 112(3). 576–585. 13 indexed citations
11.
Dye, Timothy, Brooke A. Levandowski, Saloni Sharma, et al.. (2020). Multilevel Analysis of Personal, Non-Medical COVID-19-Related Impact Worldwide. Annals of Epidemiology. 52. 116–116. 3 indexed citations
12.
Guillet, Ronnie, Robert E. Fleming, Yuan Ru, et al.. (2018). Umbilical Cord Serum Ferritin Concentration is Inversely Associated with Umbilical Cord Hemoglobin in Neonates Born to Adolescents Carrying Singletons and Women Carrying Multiples. Journal of Nutrition. 149(3). 406–415. 15 indexed citations
14.
Naqvi, Syed Yaseen, Eva K. Pressman, Courtney Olson‐Chen, et al.. (2018). CARDIOMYOPATHY BRIDGED TO HEART TRANSPLANT WITH AMBULATORY EXTRACORPOREAL MEMBRANE OXYGENATION IN A PERIPARTUM PATIENT. Journal of the American College of Cardiology. 71(11). A2418–A2418. 1 indexed citations
15.
Thornburg, Loralei L., et al.. (2015). Procalcitonin for prediction of chorioamnionitis in preterm premature rupture of membranes. The Journal of Maternal-Fetal & Neonatal Medicine. 29(13). 2056–2061. 25 indexed citations
16.
Guillet, Ronnie, Elizabeth Cooper, Tera R. Kent, et al.. (2015). Vitamin D status is inversely associated with anemia and serum erythropoietin during pregnancy. American Journal of Clinical Nutrition. 102(5). 1088–1095. 50 indexed citations
17.
Thornburg, Loralei L., et al.. (2008). Sonographic birth‐weight prediction in obese patients using the gestation‐adjusted prediction method. Ultrasound in Obstetrics and Gynecology. 32(1). 66–70. 20 indexed citations
18.
DiPietro, Janet A., Kathleen A. Costigan, Sterling C. Hilton, & Eva K. Pressman. (1999). Effects of Socioeconomic Status and Psychosocial Stress on the Development of the Fetus. Annals of the New York Academy of Sciences. 896(1). 356–358. 12 indexed citations
19.
Agre, Peter, Bradley Smith, Ruben Baumgarten, et al.. (1994). Human red cell Aquaporin CHIP. II. Expression during normal fetal development and in a novel form of congenital dyserythropoietic anemia.. Journal of Clinical Investigation. 94(3). 1050–1058. 51 indexed citations
20.
Rossiter, Judith Pratt, Karin J. Blakemore, Thomas S. Kickler, et al.. (1994). The use of polymerase chain reaction to determine fetal RhD status. American Journal of Obstetrics and Gynecology. 171(4). 1047–1051. 17 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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