Gina‐Maria Pomann

460 total citations
41 papers, 251 citations indexed

About

Gina‐Maria Pomann is a scholar working on Statistics and Probability, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gina‐Maria Pomann has authored 41 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 10 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gina‐Maria Pomann's work include Statistics Education and Methodologies (8 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and Health and Medical Research Impacts (5 papers). Gina‐Maria Pomann is often cited by papers focused on Statistics Education and Methodologies (8 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and Health and Medical Research Impacts (5 papers). Gina‐Maria Pomann collaborates with scholars based in United States, Belgium and India. Gina‐Maria Pomann's co-authors include Ana‐Maria Staicu, Sujit K. Ghosh, Benjamin A. Goldstein, Wolfgang C. Winkelmayer­, Steven Wolf, Jonathan C. Routh, John S. Wiener, Sudarshan Rajagopal, Talal Dahhan and Nicole F. Ruopp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Statistics in Medicine.

In The Last Decade

Gina‐Maria Pomann

34 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gina‐Maria Pomann United States 9 58 53 39 34 33 41 251
Yiyue Lou United States 10 26 0.4× 59 1.1× 62 1.6× 15 0.4× 20 0.6× 32 969
Konstantinos Pateras Greece 12 46 0.8× 43 0.8× 47 1.2× 23 0.7× 24 0.7× 34 359
Lynette Hunt New Zealand 10 51 0.9× 44 0.8× 42 1.1× 48 1.4× 20 0.6× 15 385
M. R. Sooriyarachchi Sri Lanka 10 147 2.5× 19 0.4× 34 0.9× 12 0.4× 12 0.4× 50 335
Damian McEntegart United Kingdom 9 176 3.0× 34 0.6× 48 1.2× 26 0.8× 11 0.3× 20 463
Yu–Li Lin United States 12 10 0.2× 65 1.2× 40 1.0× 16 0.5× 19 0.6× 26 308
Weiming Ke United States 9 21 0.4× 29 0.5× 27 0.7× 13 0.4× 35 1.1× 27 298
Dinesh Pal Mudaranthakam United States 9 24 0.4× 28 0.5× 28 0.7× 21 0.6× 28 0.8× 51 253
Eric Ho Man Tang Hong Kong 13 15 0.3× 21 0.4× 58 1.5× 20 0.6× 45 1.4× 35 428
Yihong Deng United States 10 17 0.3× 47 0.9× 43 1.1× 10 0.3× 21 0.6× 24 410

Countries citing papers authored by Gina‐Maria Pomann

Since Specialization
Citations

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

Fields of papers citing papers by Gina‐Maria Pomann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina‐Maria Pomann. 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 Gina‐Maria Pomann. The network helps show where Gina‐Maria Pomann may publish in the future.

Co-authorship network of co-authors of Gina‐Maria Pomann

This figure shows the co-authorship network connecting the top 25 collaborators of Gina‐Maria Pomann. A scholar is included among the top collaborators of Gina‐Maria Pomann 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 Gina‐Maria Pomann. Gina‐Maria Pomann 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.
Slade, Emily, Claudine Jurkovitz, Shari Messinger, et al.. (2025). Advancing workforce development and scientific collaboration: A novel resource for biostatistical education. Journal of Clinical and Translational Science. 9(1). e11–e11. 1 indexed citations
2.
Peskoe, Sarah B., Emily Slade, Mary Boulos, et al.. (2024). Methods for building a staff workforce of quantitative scientists in academic health care. Stat. 13(2).
3.
Schulte, Phillip J., Judith D. Goldberg, Robert A. Oster, et al.. (2024). Peer review of clinical and translational research manuscripts: Perspectives from statistical collaborators. Journal of Clinical and Translational Science. 8(1). e20–e20.
4.
Peterson, Ryan, Emily Slade, Gina‐Maria Pomann, & Walter T. Ambrosius. (2024). Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations. Stat. 13(2).
5.
Troy, Jesse D., Megan L. Neely, Steven C. Grambow, Gina‐Maria Pomann, & Greg Samsa. (2024). A Curriculum Review of Programming Courses in a Master of Biostatistics Program. Journal of Curriculum and Teaching. 13(1). 405–405.
6.
Huebner, Marianne, et al.. (2024). Developing partnerships for academic data science consulting and collaboration units. Stat. 13(1). 1 indexed citations
7.
Troy, Jesse D., Gina‐Maria Pomann, Megan L. Neely, Steven C. Grambow, & Greg Samsa. (2023). Are Simulated Coding Interviews a Fair and Practical Examination Format for Non-professional Programmers Enrolled in a Master’s Degree Program in Biostatistics?. Journal of Curriculum and Teaching. 12(6). 253–253.
8.
Troy, Jesse D., Megan L. Neely, Gina‐Maria Pomann, Steven C. Grambow, & Greg Samsa. (2023). Treatment Effect Estimates From Pilot Trials Are Unreliable. Journal of Pain and Symptom Management. 66(6). e672–e686.
9.
Slade, Emily, Ann M. Brearley, Matthew J. Hayat, et al.. (2023). Essential team science skills for biostatisticians on collaborative research teams. Journal of Clinical and Translational Science. 7(1). e243–e243. 4 indexed citations
10.
Wolf, Steven, Henry E. Rice, Elisabeth T. Tracy, et al.. (2021). Open versus minimally-invasive surgical techniques in pediatric renal tumors: A population-level analysis of in-hospital outcomes. Journal of Pediatric Urology. 17(4). 534.e1–534.e7. 2 indexed citations
11.
Ciolino, Jody D., Cathie Spino, Walter T. Ambrosius, et al.. (2021). Guidance for biostatisticians on their essential contributions to clinical and translational research protocol review. SHILAP Revista de lepidopterología. 5(1). e161–e161. 8 indexed citations
12.
Oster, Robert A., Katrina L. Devick, Sally W. Thurston, et al.. (2020). Learning gaps among statistical competencies for clinical and translational science learners. SHILAP Revista de lepidopterología. 5(1). e12–e12. 11 indexed citations
13.
Routh, Jonathan C., Steven Wolf, Gina‐Maria Pomann, et al.. (2019). Early Impact of the Patient Protection and Affordable Care Act on Delivery of Children’s Surgical Care. Clinical Pediatrics. 58(4). 453–460. 4 indexed citations
14.
Csizmadi, Ilona, Lauren E. Howard, Gina‐Maria Pomann, et al.. (2019). First-year weight loss with androgen-deprivation therapy increases risks of prostate cancer progression and prostate cancer-specific mortality: results from SEARCH. Cancer Causes & Control. 30(3). 259–269. 3 indexed citations
15.
Wolf, Steven, et al.. (2019). Partial and radical nephrectomy in children, adolescents, and young adults: Equivalent readmissions and postoperative complications. Journal of Pediatric Surgery. 54(11). 2343–2347. 4 indexed citations
16.
Inouye, Brian M., Hsin‐Hsiao Scott Wang, Steven Wolf, et al.. (2019). Hospital and ED charges for spina bifida care in the United States between 2006 and 2014: Over $2 billion annually.. Disability and health journal. 12(3). 431–436. 12 indexed citations
17.
Wolf, Steven, et al.. (2018). The evaluation of three comorbidity indices in predicting postoperative complications and readmissions in pediatric urology. Journal of Pediatric Urology. 14(3). 244.e1–244.e7. 17 indexed citations
18.
Wolf, Steven, Deanna Adkins, Brian J. Young, et al.. (2017). Contemporary Demographic, Treatment, and Geographic Distribution Patterns for Disorders of Sex Development. Clinical Pediatrics. 57(3). 311–318. 2 indexed citations
19.
Pomann, Gina‐Maria, Ana‐Maria Staicu, Edgar Lobatón, et al.. (2016). A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis lesions. The Annals of Applied Statistics. 10(4). 2325–2348. 9 indexed citations
20.
Gilmore, Brian F., Michael E. Barfield, Kristy L. Rialon, et al.. (2016). Clinical Acuity Shorthand System: a standardized classification tool to facilitate handoffs. Journal of Surgical Research. 211. 163–171. 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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