M. Danielle Fallin

665 total citations
8 papers, 343 citations indexed

About

M. Danielle Fallin is a scholar working on Molecular Biology, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, M. Danielle Fallin has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 3 papers in Epidemiology. Recurrent topics in M. Danielle Fallin's work include Autism Spectrum Disorder Research (3 papers), Virology and Viral Diseases (2 papers) and Family and Disability Support Research (2 papers). M. Danielle Fallin is often cited by papers focused on Autism Spectrum Disorder Research (3 papers), Virology and Viral Diseases (2 papers) and Family and Disability Support Research (2 papers). M. Danielle Fallin collaborates with scholars based in United States, Denmark and Sweden. M. Danielle Fallin's co-authors include Josef Coresh, Nancy E. Fink, Russell P. Tracy, Michael W. Smith, Yongmei Liu, Yvette Berthier‐Schaad, Michael J. Klag, Ruihua Wang, Marina Bibikova and Lindsey J. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

M. Danielle Fallin

8 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Danielle Fallin United States	7	133	66	65	46	38	8	343
Nhu Uyen Nguyen France	12	76 0.6×	75 1.1×	44 0.7×	30 0.7×	21 0.6×	18	475
Jennifer Su United States	7	114 0.9×	22 0.3×	55 0.8×	59 1.3×	10 0.3×	14	392
Leiting Xu China	14	266 2.0×	62 0.9×	78 1.2×	18 0.4×	13 0.3×	19	470
Hassan Kahal United Kingdom	12	51 0.4×	114 1.7×	42 0.6×	12 0.3×	11 0.3×	28	545
Fatih Kardaş Türkiye	11	87 0.7×	77 1.2×	34 0.5×	21 0.5×	12 0.3×	47	367
Federica Cecchini Italy	7	68 0.5×	67 1.0×	32 0.5×	26 0.6×	5 0.1×	8	335
Anna L. Eriksson Sweden	13	154 1.2×	94 1.4×	139 2.1×	8 0.2×	35 0.9×	29	563
Antonella Mulas Italy	7	128 1.0×	40 0.6×	93 1.4×	51 1.1×	10 0.3×	10	481
Marion M. Brands Netherlands	11	93 0.7×	271 4.1×	44 0.7×	21 0.5×	47 1.2×	34	438
Elif Kılıç Türkiye	13	110 0.8×	77 1.2×	16 0.2×	11 0.2×	10 0.3×	33	407

Countries citing papers authored by M. Danielle Fallin

Since Specialization

Citations

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

Fields of papers citing papers by M. Danielle Fallin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Danielle Fallin. 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 M. Danielle Fallin. The network helps show where M. Danielle Fallin may publish in the future.

Co-authorship network of co-authors of M. Danielle Fallin

This figure shows the co-authorship network connecting the top 25 collaborators of M. Danielle Fallin. A scholar is included among the top collaborators of M. Danielle Fallin 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 M. Danielle Fallin. M. Danielle Fallin 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

Schendel, Diana, Thomas Munk Laursen, Clara Albiñana, et al.. (2021). Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism. Autism Research. 15(1). 171–182. 9 indexed citations

Ejlskov, Linda, Jesper Wulff, Amy E. Kalkbrenner, et al.. (2021). Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark. SHILAP Revista de lepidopterología. 1(2). 156–164. 18 indexed citations

Schieve, Laura A., Lin H. Tian, Carolyn Drews‐Botsch, et al.. (2017). Autism spectrum disorder and birth spacing: Findings from the study to explore early development (SEED). Autism Research. 11(1). 81–94. 18 indexed citations

Moore, Ann Zenobia, Mary L. Biggs, Amy M. Matteini, et al.. (2010). Polymorphisms in the Mitochondrial DNA Control Region and Frailty in Older Adults. PLoS ONE. 5(6). e11069–e11069. 62 indexed citations

Wang, Ruihua, et al.. (2008). Neuroglobin and Alzheimer's dementia: Genetic association and gene expression changes. Neurobiology of Aging. 31(11). 1835–1842. 49 indexed citations

Björnsson, Hans T., Lindsey J. Brown, M. Danielle Fallin, et al.. (2007). Epigenetic Specificity of Loss of Imprinting of the IGF2 Gene in Wilms Tumors. JNCI Journal of the National Cancer Institute. 99(16). 1270–1273. 80 indexed citations

Liu, Yongmei, Yvette Berthier‐Schaad, M. Danielle Fallin, et al.. (2006). IL-6 Haplotypes, Inflammation, and Risk for Cardiovascular Disease in a Multiethnic Dialysis Cohort. Journal of the American Society of Nephrology. 17(3). 863–870. 102 indexed citations

Liu, Ching‐Ti, Yvette Berthier‐Schaad, Nancy E. Fink, et al.. (2005). β-Fibrinogen Haplotypes and the Risk for Cardiovascular Disease in a Dialysis Cohort. American Journal of Kidney Diseases. 46(1). 78–85. 5 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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