Eva Forman

589 total citations
11 papers, 128 citations indexed

About

Eva Forman is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Eva Forman has authored 11 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Neurology. Recurrent topics in Eva Forman's work include RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Metabolism and Genetic Disorders (2 papers). Eva Forman is often cited by papers focused on RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Metabolism and Genetic Disorders (2 papers). Eva Forman collaborates with scholars based in Ireland and United States. Eva Forman's co-authors include Mary D. King, Afif El‐Khuffash, Kathleen M. Gorman, Colm R. Breatnach, Adrienne Foran, Sally Ann Lynch, Janusz Krawczyk, Andrew Green, Jan Miletín and Stephanie Ryan and has published in prestigious journals such as Archives of Disease in Childhood, Pediatric Research and European Journal of Pediatrics.

In The Last Decade

Eva Forman

11 papers receiving 128 citations

Peers

Eva Forman

GENET

MB

EPIDE

PPCH

PRM

Robert T. Egel United States

Rolla Shbarou United States

Carole Brewer United Kingdom

Sunu Mathew United States

Charles Laing Germany

Frederick W. Vonberg United States

Lucy Kinton United Kingdom

Tyson L. Ware Australia

Pauli Ylikotila Finland

Sébastien Lebon Switzerland

Robert T. Egel United States

Eva Forman

22 ×0.5

GENET

33 ×0.9

MB

25 ×0.8

EPIDE

16 ×0.6

PPCH

21 ×0.9

PRM

Citations per year, relative to Eva Forman Eva Forman (= 1×) peers Robert T. Egel

Countries citing papers authored by Eva Forman

Since Specialization

Citations

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

Fields of papers citing papers by Eva Forman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Forman

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

All Works

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11 of 11 papers shown

1.

Forman, Eva, Sally Ann Lynch, Ina Knerr, et al.. (2022). An approach to recognising and identifying metabolic presentations in the paediatric Irish Traveller population. European Journal of Pediatrics. 182(1). 31–40. 1 indexed citations

2.

Forman, Eva, Mary D. King, & Kathleen M. Gorman. (2020). Fifteen-minute consultation: Approach to investigation and management of childhood dystonia. Archives of Disease in Childhood Education & Practice. 106(2). 71–77. 3 indexed citations

3.

Forman, Eva, et al.. (2019). X-linked infantile spinal muscular atrophy (SMAX2) caused by novel c.1681G>A substitution in the UBA1 gene, expanding the phenotype. Neuromuscular Disorders. 30(1). 35–37. 5 indexed citations

4.

Forman, Eva, et al.. (2019). P496 X- linked infantile spinal muscular atrophy (smax2) caused by novel c.1681g>a substitution in the uba1 gene, expanding the phenotype. Abstracts. A351.2–A352. 1 indexed citations

5.

Forman, Eva, Jacqueline Fitzgerald, Veronica McInerney, et al.. (2018). NRXN1 deletion syndrome; phenotypic and penetrance data from 34 families. European Journal of Medical Genetics. 62(3). 204–209. 52 indexed citations

6.

Forman, Eva, A. Reghan Foley, & Mary D. King. (2018). Dramatic Improvement of a Rare Syndrome With High Dose Riboflavin Treatment. Pediatric Neurology. 86. 77–78. 7 indexed citations

7.

Gorman, Kathleen M., Eva Forman, Dympna Waldron, et al.. (2018). Status dystonicus due to missense variant in ARX: Diagnosis and management. European Journal of Paediatric Neurology. 22(5). 862–865. 5 indexed citations

8.

Forman, Eva, Colm R. Breatnach, Stephanie Ryan, et al.. (2017). Noninvasive continuous cardiac output and cerebral perfusion monitoring in term infants with neonatal encephalopathy: assessment of feasibility and reliability. Pediatric Research. 82(5). 789–795. 26 indexed citations

9.

Forman, Eva, Kathleen M. Gorman, Judith Conroy, et al.. (2017). Cost of exome sequencing in epileptic encephalopathy: is it ‘worth it’?. Archives of Disease in Childhood. 103(3). 304–304. 1 indexed citations

10.

Breatnach, Colm R., Eva Forman, Adrienne Foran, et al.. (2016). Left ventricular rotational mechanics in infants with hypoxic ischemic encephalopathy and preterm infants at 36 weeks postmenstrual age: A comparison with healthy term controls. Echocardiography. 34(2). 232–239. 20 indexed citations

11.

Forman, Eva, et al.. (2013). Idiopathic intracranial hypertension associated with iron-deficiency anaemia. Archives of Disease in Childhood. 98(6). 418–418. 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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