Aswathi Jayaram

680 total citations
23 papers, 512 citations indexed

About

Aswathi Jayaram is a scholar working on Obstetrics and Gynecology, Immunology and Epidemiology. According to data from OpenAlex, Aswathi Jayaram has authored 23 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 7 papers in Immunology and 6 papers in Epidemiology. Recurrent topics in Aswathi Jayaram's work include Pregnancy and preeclampsia studies (10 papers), Reproductive System and Pregnancy (7 papers) and Reproductive tract infections research (5 papers). Aswathi Jayaram is often cited by papers focused on Pregnancy and preeclampsia studies (10 papers), Reproductive System and Pregnancy (7 papers) and Reproductive tract infections research (5 papers). Aswathi Jayaram collaborates with scholars based in United States and Brazil. Aswathi Jayaram's co-authors include Steven S. Witkin, William J. Ledger, Larry J. Forney, Iara M. Linhares, Helena Mendes‐Soares, Theofano Orfanelli, Georgios Doulaveris, Mark Cunningham, Lorena M. Amaral and Denise C. Cornelius and has published in prestigious journals such as The FASEB Journal, Hypertension and American Journal of Obstetrics and Gynecology.

In The Last Decade

Aswathi Jayaram

22 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aswathi Jayaram United States 11 283 224 143 130 115 23 512
Ine Riphagen Belgium 7 291 1.0× 354 1.6× 51 0.4× 72 0.6× 32 0.3× 9 512
Denise Chan Australia 6 159 0.6× 177 0.8× 61 0.4× 64 0.5× 34 0.3× 13 318
Evelyn Minis United States 12 211 0.7× 179 0.8× 60 0.4× 84 0.6× 48 0.4× 32 475
Marwa Saadaoui Qatar 10 59 0.2× 97 0.4× 135 0.9× 76 0.6× 60 0.5× 13 428
Deborah L. de Guingand Australia 10 233 0.8× 137 0.6× 63 0.4× 31 0.2× 32 0.3× 17 421
Erica Boldenow United States 13 112 0.4× 294 1.3× 55 0.4× 134 1.0× 55 0.5× 19 522
Kateryna Ruban Belgium 8 290 1.0× 210 0.9× 72 0.5× 48 0.4× 14 0.1× 15 397
Jee Yoon Park South Korea 11 54 0.2× 377 1.7× 34 0.2× 69 0.5× 183 1.6× 58 559
Nerea M. Molina Spain 7 126 0.4× 36 0.2× 120 0.8× 190 1.5× 48 0.4× 13 395
Allison M. Felker Canada 8 50 0.2× 48 0.2× 45 0.3× 206 1.6× 119 1.0× 15 329

Countries citing papers authored by Aswathi Jayaram

Since Specialization
Citations

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

Fields of papers citing papers by Aswathi Jayaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aswathi Jayaram

This figure shows the co-authorship network connecting the top 25 collaborators of Aswathi Jayaram. A scholar is included among the top collaborators of Aswathi Jayaram 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 Aswathi Jayaram. Aswathi Jayaram 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.
Heyman, Taryn, Aswathi Jayaram, Yuval Eisenberg, et al.. (2024). Pheochromocytoma. JACC Case Reports. 29(4). 102217–102217.
2.
Jayaram, Aswathi, Evangeline Deer, Lorena M. Amaral, et al.. (2021). The role of tumor necrosis factor in triggering activation of natural killer cell, multi-organ mitochondrial dysfunction and hypertension during pregnancy. Pregnancy Hypertension. 24. 65–72. 20 indexed citations
3.
Jayaram, Aswathi, et al.. (2021). Who said differentiating preeclampsia from COVID-19 infection was easy?. Pregnancy Hypertension. 26. 8–10. 13 indexed citations
4.
Wallace, Kedra, et al.. (2020). Acute kidney injury associated with preeclampsia or hemolysis, elevated liver enzymes, and low platelets syndrome. Pregnancy Hypertension. 19. 94–99. 12 indexed citations
5.
Cunningham, Mark, Aswathi Jayaram, Evangeline Deer, et al.. (2020). Tumor necrosis factor alpha (TNF-α) blockade improves natural killer cell (NK) activation, hypertension, and mitochondrial oxidative stress in a preclinical rat model of preeclampsia. Hypertension in Pregnancy. 39(4). 399–404. 29 indexed citations
6.
Jayaram, Aswathi, Charlene Collier, & James N. Martin. (2020). Preterm parturition and pre‐eclampsia: The confluence of two great gestational syndromes. International Journal of Gynecology & Obstetrics. 150(1). 10–16. 15 indexed citations
7.
8.
Jayaram, Aswathi, et al.. (2018). 109: Etanercept improves natural killer cell activation and hypertension in a preclinical rat model of pre-eclampsia. American Journal of Obstetrics and Gynecology. 220(1). S86–S87. 1 indexed citations
9.
Jayaram, Aswathi, et al.. (2017). Pregnancy History Influences the Level of Autophagy in Peripheral Blood Mononuclear Cells From Pregnant Women. Reproductive Sciences. 25(9). 1376–1381. 7 indexed citations
10.
Jayaram, Aswathi. (2015). 525: Autophagy induction and expression of the 70 kDa heat shock protein and heme oxidase-1 in peripheral blood mononuclear cells in human gestation. American Journal of Obstetrics and Gynecology. 214(1). S284–S284. 1 indexed citations
11.
Jayaram, Aswathi, et al.. (2014). Decreased concentration of protease inhibitors: possible contributors to allodynia and hyperalgesia in women with vestibulodynia. American Journal of Obstetrics and Gynecology. 212(2). 184.e1–184.e4. 5 indexed citations
12.
Jayaram, Aswathi, et al.. (2014). Association Between Neurotrophin 4 and Long-Chain Polyunsaturated Fatty Acid Levels in Mid-Trimester Amniotic Fluid. Reproductive Sciences. 21(11). 1395–1400. 3 indexed citations
13.
Jayaram, Aswathi, Steven S. Witkin, Xia Zhou, et al.. (2014). The bacterial microbiome in paired vaginal and vestibular samples from women with vulvar vestibulitis syndrome. Pathogens and Disease. 72(3). n/a–n/a. 15 indexed citations
14.
Jayaram, Aswathi, et al.. (2014). Altered autophagy induction by sera from pregnant women with pre‐eclampsia: a case–control study. BJOG An International Journal of Obstetrics & Gynaecology. 121(8). 958–964. 26 indexed citations
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Orfanelli, Theofano, Aswathi Jayaram, Georgios Doulaveris, et al.. (2013). Human Epididymis Protein 4 and Secretory Leukocyte Protease Inhibitor in Vaginal Fluid: Relation to Vaginal Components and Bacterial Composition. Reproductive Sciences. 21(4). 538–542. 29 indexed citations
18.
Jayaram, Aswathi, Theofano Orfanelli, Georgios Doulaveris, et al.. (2013). Unique variation in genetic selection among Black North American women and its potential influence on pregnancy outcome. Medical Hypotheses. 81(5). 919–922. 23 indexed citations
19.
Linhares, Iara M., Tomi T. Kanninen, Theofano Orfanelli, et al.. (2013). The Vaginal Microbiome: New Findings Bring New Opportunities. Drug Development Research. 74(6). 360–364. 3 indexed citations
20.
Jayaram, Aswathi, Theofano Orfanelli, Georgios Doulaveris, et al.. (2012). 600: Differences in the frequency of genetic variants in multiple genes in pregnant African-Americans compared to Whites and Hispanics. American Journal of Obstetrics and Gynecology. 208(1). S256–S256. 1 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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