C. Ackerman

2.5k total citations
22 papers, 867 citations indexed

About

C. Ackerman is a scholar working on Molecular Biology, Epidemiology and Rheumatology. According to data from OpenAlex, C. Ackerman has authored 22 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Rheumatology. Recurrent topics in C. Ackerman's work include Gestational Diabetes Research and Management (4 papers), Birth, Development, and Health (3 papers) and Pregnancy and preeclampsia studies (2 papers). C. Ackerman is often cited by papers focused on Gestational Diabetes Research and Management (4 papers), Birth, Development, and Health (3 papers) and Pregnancy and preeclampsia studies (2 papers). C. Ackerman collaborates with scholars based in United States, Belgium and United Kingdom. C. Ackerman's co-authors include Herman Mielants, K. Goethals, Qingyi Yu, Paul H. Moore, Ray Ming, Andrew H. Paterson, Stefan Goemaere, Francis Zee, Hao Ma and Ragiba Makandar and has published in prestigious journals such as Nature, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

C. Ackerman

22 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Ackerman United States 14 313 295 267 137 114 22 867
Mohammad Ali Sadighi Gilani Iran 22 412 1.3× 351 1.2× 63 0.2× 85 0.6× 51 0.4× 99 1.4k
Piotr Jędrzejczak Poland 22 330 1.1× 325 1.1× 41 0.2× 56 0.4× 32 0.3× 90 1.5k
D Boucher France 22 325 1.0× 452 1.5× 80 0.3× 22 0.2× 129 1.1× 86 1.3k
Carmen Mendoza Spain 29 385 1.2× 231 0.8× 41 0.2× 45 0.3× 73 0.6× 49 2.4k
Margot Van Allen United States 12 125 0.4× 199 0.7× 43 0.2× 35 0.3× 45 0.4× 15 697
H.W. Gordon Baker Australia 30 391 1.2× 274 0.9× 39 0.1× 112 0.8× 27 0.2× 62 2.4k
Madhulika Sharma United States 22 657 2.1× 367 1.2× 73 0.3× 27 0.2× 82 0.7× 56 1.2k
Colin MacNeill United States 13 523 1.7× 184 0.6× 28 0.1× 26 0.2× 157 1.4× 27 1.0k
Florence Brugnon France 21 361 1.2× 160 0.5× 54 0.2× 31 0.2× 12 0.1× 74 1.3k
Linda Wu Australia 21 538 1.7× 277 0.9× 28 0.1× 44 0.3× 146 1.3× 46 1.9k

Countries citing papers authored by C. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by C. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of C. Ackerman. A scholar is included among the top collaborators of C. Ackerman 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 C. Ackerman. C. Ackerman 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.
Ackerman, C., L. A. LOWE, Alan R. Dyer, et al.. (2013). Maternal Testosterone Levels are Associated with C-Peptide Levels in the Mexican American Subset of the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study Cohort. Hormone and Metabolic Research. 45(8). 617–620. 12 indexed citations
2.
Ackerman, C., Adam E. Locke, Eleanor Feingold, et al.. (2012). An Excess of Deleterious Variants in VEGF-A Pathway Genes in Down-Syndrome-Associated Atrioventricular Septal Defects. The American Journal of Human Genetics. 91(4). 646–659. 83 indexed citations
3.
Ackerman, C., Lynn P. Lowe, M. Geoffrey Hayes, et al.. (2012). Ethnic Variation in Allele Distribution of the Androgen Receptor (AR) (CAG)n Repeat. Journal of Andrology. 33(2). 210–215. 60 indexed citations
4.
Urbanek, Margrit, M. Geoffrey Hayes, Hoon Lee, et al.. (2012). The Role of Inflammatory Pathway Genetic Variation on Maternal Metabolic Phenotypes during Pregnancy. PLoS ONE. 7(3). e32958–e32958. 19 indexed citations
5.
6.
Ackerman, C., et al.. (2010). The Role of the Polycystic Ovary Syndrome Susceptibility Locus D19S884 Allele 8 in Maternal Glycemia and Fetal Size. The Journal of Clinical Endocrinology & Metabolism. 95(7). 3242–3250. 7 indexed citations
7.
Urbanek, Margrit, et al.. (2009). The Role of Genetic Variation in the Lamin A/C Gene in the Etiology of Polycystic Ovary Syndrome. Molecular Endocrinology. 23(7). 1124–1124. 1 indexed citations
8.
Urbanek, Margrit, et al.. (2009). The Role of Genetic Variation in the Lamin A/C Gene in the Etiology of Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 94(7). 2665–2669. 13 indexed citations
9.
Suzuki, Jon Y., Savarni Tripathi, Gustavo Fermín, et al.. (2008). Characterization of Insertion Sites in Rainbow Papaya, the First Commercialized Transgenic Fruit Crop. Tropical Plant Biology. 1(3-4). 293–309. 18 indexed citations
10.
Ackerman, C., Qingyi Yu, Sangtae Kim, et al.. (2007). B-class MADS-box genes in trioecious papaya: two paleoAP3 paralogs, CpTM6-1 and CpTM6-2, and a PI ortholog CpPI. Planta. 227(4). 741–753. 18 indexed citations
11.
Liu, Zhiyong, Paul H. Moore, Hao Ma, et al.. (2004). A primitive Y chromosome in papaya marks incipient sex chromosome evolution. Nature. 427(6972). 348–352. 294 indexed citations
12.
Ackerman, C., et al.. (2003). An Extrathoracic Cause for a Unilateral Hyperlucent Lung on a Chest Radiograph. Respiration. 70(6). 643–643. 3 indexed citations
13.
Ackerman, C., et al.. (1996). Lung uptake on technetium-99m-MDP bone scan in Wegener's vasculitis.. PubMed. 37(5). 857–8. 7 indexed citations
14.
Mielants, Herman, Michel De Vos, Stefan Goemaere, et al.. (1991). Intestinal mucosal permeability in inflammatory rheumatic diseases. II. Role of disease.. PubMed. 18(3). 394–400. 49 indexed citations
15.
Mielants, Herman, Stefan Goemaere, De Vos M, et al.. (1991). Intestinal mucosal permeability in inflammatory rheumatic diseases. I. Role of antiinflammatory drugs.. PubMed. 18(3). 389–93. 28 indexed citations
16.
Goemaere, Stefan, C. Ackerman, K. Goethals, et al.. (1991). Onset of symptoms of rheumatoid arthritis in relation to age, sex and menopausal transition. Maturitas. 13(4). 340–341. 97 indexed citations
17.
Mielants, Herman, Eric Veys, K. Goethals, et al.. (1990). Destructive hip lesions in seronegative spondyloarthropathies: relation to gut inflammation.. PubMed. 17(3). 335–40. 13 indexed citations
18.
Mielants, Herman, et al.. (1990). Destructive lesions of small joints in seronegative spondylarthropathies: relation to gut inflammation.. PubMed. 8(1). 23–7. 24 indexed citations
19.
Shupack, Jerome L., et al.. (1990). Topical Alpha-Interferon in Recurrent Genital Herpes Simplex Infection. Dermatology. 181(2). 134–138. 11 indexed citations
20.
Verstraete, Alain, et al.. (1989). Formic acid poisoning: Case report and in vitro study of the hemolytic activity. The American Journal of Emergency Medicine. 7(3). 286–290. 14 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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