Gila Neta

671 total citations
8 papers, 296 citations indexed

About

Gila Neta is a scholar working on General Health Professions, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gila Neta has authored 8 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gila Neta's work include Health Policy Implementation Science (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Gila Neta is often cited by papers focused on Health Policy Implementation Science (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Gila Neta collaborates with scholars based in United States and Ukraine. Gila Neta's co-authors include David Chambers, Russell E. Glasgow, Margaret M. Farrell, Jonathan N. Tobin, Cara C. Lewis, Borsika A. Rabin, Wynne E. Norton, Ross C. Brownson, Barbara A. Murphy and Michael Birrer and has published in prestigious journals such as PLoS ONE, Cancer Epidemiology Biomarkers & Prevention and Radiation Research.

In The Last Decade

Gila Neta

8 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gila Neta United States	8	139	63	61	60	30	8	296
Margaret M. Farrell United States	10	154 1.1×	157 2.5×	51 0.8×	114 1.9×	17 0.6×	15	612
Natasha Curry United States	11	125 0.9×	58 0.9×	38 0.6×	116 1.9×	14 0.5×	18	421
Donna A. Messner United States	11	81 0.6×	40 0.6×	102 1.7×	30 0.5×	54 1.8×	23	327
Leeza Osipenko United Kingdom	9	34 0.2×	27 0.4×	115 1.9×	36 0.6×	16 0.5×	22	317
Katharine Batt United States	15	32 0.2×	87 1.4×	81 1.3×	44 0.7×	14 0.5×	49	565
Leigh S. Hamby United States	11	39 0.3×	49 0.8×	23 0.4×	47 0.8×	20 0.7×	23	343
Kimberly A. Herget United States	11	19 0.1×	128 2.0×	30 0.5×	33 0.6×	31 1.0×	23	293
Henrikki Santti Finland	13	110 0.8×	147 2.3×	50 0.8×	178 3.0×	87 2.9×	25	603
Grace Hampson United Kingdom	9	54 0.4×	55 0.9×	187 3.1×	53 0.9×	23 0.8×	23	366
Karen E. Wickersham United States	9	57 0.4×	76 1.2×	37 0.6×	39 0.7×	10 0.3×	21	265

Countries citing papers authored by Gila Neta

Since Specialization

Citations

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

Fields of papers citing papers by Gila Neta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gila Neta

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

All Works

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8 of 8 papers shown

Johnson, Karin, Gila Neta, Laura M. Dember, et al.. (2016). Use of PRECIS ratings in the National Institutes of Health (NIH) Health Care Systems Research Collaboratory. Trials. 17(1). 32–32. 47 indexed citations

Neta, Gila, Michael Sánchez, David Chambers, et al.. (2015). Implementation science in cancer prevention and control: a decade of grant funding by the National Cancer Institute and future directions. Implementation Science. 10(1). 4–4. 66 indexed citations

Rabin, Borsika A., Cara C. Lewis, Wynne E. Norton, et al.. (2015). Measurement resources for dissemination and implementation research in health. Implementation Science. 11(1). 42–42. 60 indexed citations

Proctor, Enola K., Christopher R. Carpenter, C. Hendricks Brown, et al.. (2015). Advancing the science of dissemination and implementation: three "6th NIH Meetings" on training, measures, and methods. Implementation Science. 10(S1). 12 indexed citations

Neta, Gila, Maureen Hatch, Cari M. Kitahara, et al.. (2014). In Utero Exposure to Iodine-131 from Chernobyl Fallout and Anthropometric Characteristics in Adolescence. Radiation Research. 181(3). 293–293. 9 indexed citations

Brenner, Alina V., Gila Neta, Erich M. Sturgis, et al.. (2013). Common Single Nucleotide Polymorphisms in Genes Related to Immune Function and Risk of Papillary Thyroid Cancer. PLoS ONE. 8(3). e57243–e57243. 20 indexed citations

Kitahara, Cari M., Gila Neta, Ruth M. Pfeiffer, et al.. (2012). Common Obesity-Related Genetic Variants and Papillary Thyroid Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 21(12). 2268–2271. 20 indexed citations

Johnson, Alfred C., Barbara A. Murphy, Yaffa Rubinstein, et al.. (2000). Activator Protein-1 Mediates Induced but not Basal Epidermal Growth Factor Receptor Gene Expression. Molecular Medicine. 6(1). 17–27. 62 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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