Mark Cunningham

4.3k total citations · 1 hit paper
73 papers, 2.4k citations indexed

About

Mark Cunningham is a scholar working on Obstetrics and Gynecology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mark Cunningham has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Obstetrics and Gynecology, 35 papers in Immunology and 34 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mark Cunningham's work include Pregnancy and preeclampsia studies (41 papers), Birth, Development, and Health (34 papers) and Reproductive System and Pregnancy (29 papers). Mark Cunningham is often cited by papers focused on Pregnancy and preeclampsia studies (41 papers), Birth, Development, and Health (34 papers) and Reproductive System and Pregnancy (29 papers). Mark Cunningham collaborates with scholars based in United States, Germany and United Kingdom. Mark Cunningham's co-authors include Babbette LaMarca, Lorena M. Amaral, Denise C. Cornelius, Jessica Faulkner, Ashlyn C. Harmon, Kedra Wallace, Tarek Ibrahim, Venkata Ramana Vaka, Robert T. Sarisky and Nathan Usry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physiology.

In The Last Decade

Mark Cunningham

70 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The role of inflammation in the pathology of preeclampsia

2016 421 citations Ashlyn C. Harmon, Denise C. Cornelius et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Cunningham United States	25	1.3k	1.0k	899	468	302	73	2.4k
Nick A. Bersinger Switzerland	34	1.5k 1.2×	1.1k 1.0×	804 0.9×	291 0.6×	894 3.0×	98	3.4k
D. Michael Nelson United States	23	1.1k 0.9×	339 0.3×	921 1.0×	436 0.9×	193 0.6×	44	2.1k
Jean-Claude Challier France	22	1.3k 1.0×	337 0.3×	908 1.0×	259 0.6×	280 0.9×	45	2.1k
Moon Young Kim South Korea	25	851 0.7×	208 0.2×	854 0.9×	299 0.6×	423 1.4×	149	1.9k
M.G. Elder United Kingdom	30	938 0.7×	626 0.6×	584 0.6×	241 0.5×	703 2.3×	144	2.9k
Tomomi Kotani Japan	24	598 0.5×	197 0.2×	644 0.7×	268 0.6×	508 1.7×	170	1.8k
Antonio Pérez‐Pérez Spain	24	501 0.4×	335 0.3×	351 0.4×	379 0.8×	147 0.5×	78	2.5k
R. Punnonen Finland	30	609 0.5×	602 0.6×	173 0.2×	466 1.0×	477 1.6×	226	3.6k
William E. Ackerman United States	27	330 0.3×	284 0.3×	209 0.2×	511 1.1×	177 0.6×	125	2.1k
Antonina I. Frolova United States	20	423 0.3×	308 0.3×	384 0.4×	325 0.7×	505 1.7×	72	1.5k

Countries citing papers authored by Mark Cunningham

Since Specialization

Citations

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

Fields of papers citing papers by Mark Cunningham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Cunningham

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brown, Simon, A. Malinowska, Laura Clark, et al.. (2025). Small Interfering RNA Therapy Targeting the Long Noncoding RNA SMILR for Therapeutic Intervention in Coronary Artery Bypass Graft Failure. JACC Basic to Translational Science. 10(11). 101364–101364.

Cunningham, Mark, et al.. (2023). Progesterone‐induced blocking factor blockade causes hypertension in pregnant rats. American Journal of Reproductive Immunology. 91(1). e13805–e13805. 2 indexed citations

Booz, George W., Daniel Kennedy, Michael Bowling, et al.. (2021). Angiotensin II type 1 receptor agonistic autoantibody blockade improves postpartum hypertension and cardiac mitochondrial function in rat model of preeclampsia. Biology of Sex Differences. 12(1). 58–58. 20 indexed citations

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

Cunningham, Mark, Lorena M. Amaral, Nathan Campbell, et al.. (2021). Investigation of interleukin-2-mediated changes in blood pressure, fetal growth restriction, and innate immune activation in normal pregnant rats and in a preclinical rat model of preeclampsia. Biology of Sex Differences. 12(1). 4–4. 11 indexed citations

Deer, Evangeline, Venkata Ramana Vaka, Kristen McMaster, et al.. (2020). Vascular endothelial mitochondrial oxidative stress in response to preeclampsia: a role for angiotension II type 1 autoantibodies. American Journal of Obstetrics & Gynecology MFM. 3(1). 100275–100275. 22 indexed citations

Cornelius, Denise C., Mark Cunningham, Jessica Faulkner, et al.. (2019). 17-Hydroxyprogesterone caproate improves T cells and NK cells in response to placental ischemia; new mechanisms of action for an old drug. Pregnancy Hypertension. 19. 226–232. 21 indexed citations

Cunningham, Mark, Venkata Ramana Vaka, Kristen McMaster, et al.. (2018). Renal natural killer cell activation and mitochondrial oxidative stress; new mechanisms in AT1-AA mediated hypertensive pregnancy. Pregnancy Hypertension. 15. 72–77. 37 indexed citations

Harmon, Ashlyn C., Tarek Ibrahim, Denise C. Cornelius, et al.. (2018). Placental CD4+ T cells isolated from preeclamptic women cause preeclampsia-like symptoms in pregnant nude-athymic rats. Pregnancy Hypertension. 15. 7–11. 17 indexed citations

10.

Faulkner, Jessica, Kedra Wallace, Lorena M. Amaral, et al.. (2017). Selective inhibition of 20-hydroxyeicosatetraenoic acid lowers blood pressure in a rat model of preeclampsia. Prostaglandins & Other Lipid Mediators. 134. 108–113. 6 indexed citations

11.

Han, Sukgu M., Ramsey S. Elsayed, Anuj Mahajan, et al.. (2016). VESS22. Comparison of Intravascular Ultrasound and Centerline Computed Tomography Determined Aortic Diameters During Thoracic Endovascular Aortic Repair. Journal of Vascular Surgery. 63(6). 31S–31S. 1 indexed citations

12.

LaMarca, Babbette, Lorena M. Amaral, Ashlyn C. Harmon, et al.. (2016). Placental Ischemia and Resultant Phenotype in Animal Models of Preeclampsia. Current Hypertension Reports. 18(5). 38–38. 51 indexed citations

13.

Cunningham, Mark, Crystal A. West, Jill W. Verlander, et al.. (2012). Effects of voluntary wheel running on the kidney at baseline and after ischaemia–reperfusion‐induced acute kidney injury: a strain difference comparison. The Journal of Physiology. 591(5). 1313–1324. 10 indexed citations

14.

Chen, Gin‐Fu, Jennifer M. Sasser, Sergey Zharikov, et al.. (2011). Arginine and Asymmetric Dimethylarginine in Puromycin Aminonucleoside-Induced Chronic Kidney Disease in the Rat. American Journal of Nephrology. 35(1). 40–48. 12 indexed citations

15.

Clayton, R., Åsa Öhagen, François Nicol, et al.. (2009). Sustained and specific in vitro inhibition of HIV-1 replication by a protease inhibitor encapsulated in gp120-targeted liposomes. Antiviral Research. 84(2). 142–149. 32 indexed citations

16.

Dean, Nichole R., J. Robert Newman, Wenyue Zhang, et al.. (2009). Anti-EMMPRIN Monoclonal Antibody as a Novel Agent for Therapy of Head and Neck Cancer. Clinical Cancer Research. 15(12). 4058–4065. 53 indexed citations

17.

Murray, Lynne A., Darryl A. Knight, Rochelle L. Argentieri, et al.. (2008). Deleterious Role of TLR3 during Hyperoxia-induced Acute Lung Injury. American Journal of Respiratory and Critical Care Medicine. 178(12). 1227–1237. 63 indexed citations

18.

Carter, Percy H., Rui‐Qin Liu, William R. Foster, et al.. (2007). Discovery of a small molecule antagonist of the parathyroid hormone receptor by using an N-terminal parathyroid hormone peptide probe. Proceedings of the National Academy of Sciences. 104(16). 6846–6851. 22 indexed citations

19.

Ranjith-Kumar, C. T., William R. Miller, Jingchuan Sun, et al.. (2007). Effects of Single Nucleotide Polymorphisms on Toll-like Receptor 3 Activity and Expression in Cultured Cells. Journal of Biological Chemistry. 282(24). 17696–17705. 117 indexed citations

20.

Clayton, R., Åsa Öhagen, Olivia Goethals, et al.. (2006). Binding kinetics, uptake and intracellular accumulation of F105, an anti-gp120 human IgG1κ monoclonal antibody, in HIV-1 infected cells. Journal of Virological Methods. 139(1). 17–23. 9 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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