Daniel McSkimming

2.0k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Daniel McSkimming is a scholar working on Molecular Biology, Physiology and Periodontics. According to data from OpenAlex, Daniel McSkimming has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Periodontics. Recurrent topics in Daniel McSkimming's work include Oral microbiology and periodontitis research (11 papers), Salivary Gland Disorders and Functions (8 papers) and Dental Health and Care Utilization (8 papers). Daniel McSkimming is often cited by papers focused on Oral microbiology and periodontitis research (11 papers), Salivary Gland Disorders and Functions (8 papers) and Dental Health and Care Utilization (8 papers). Daniel McSkimming collaborates with scholars based in United States, United Kingdom and Australia. Daniel McSkimming's co-authors include Ji Youn Yoo, Anujit Sarkar, Maureen Groër, Samia Valéria Ozorio Dutra, Natarajan Kannan, Ayuna Hattori, Takahiro Ito, Tamás Nagy, John Glushka and Arthur S. Edison and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Daniel McSkimming

29 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gut Microbiota and Immune System Interactions

2020 639 citations Ji Youn Yoo, Maureen Groër et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel McSkimming United States	17	965	279	165	137	122	31	1.4k
Cecilia Engdahl Sweden	23	1.2k 1.3×	286 1.0×	56 0.3×	81 0.6×	158 1.3×	67	2.1k
Ikue Hayashi Japan	16	437 0.5×	91 0.3×	57 0.3×	56 0.4×	111 0.9×	36	1.2k
Le Liu China	18	883 0.9×	165 0.6×	97 0.6×	51 0.4×	197 1.6×	52	1.6k
Meghali Nighot United States	13	667 0.7×	162 0.6×	89 0.5×	39 0.3×	71 0.6×	24	1.2k
Francesca Rappa Italy	36	1.8k 1.8×	415 1.5×	352 2.1×	43 0.3×	172 1.4×	119	3.1k
Angelo Leone Italy	21	1.1k 1.1×	160 0.6×	348 2.1×	40 0.3×	138 1.1×	79	2.0k
Mawieh Hamad United Arab Emirates	23	496 0.5×	112 0.4×	164 1.0×	34 0.2×	325 2.7×	104	1.5k

Countries citing papers authored by Daniel McSkimming

Since Specialization

Citations

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

Fields of papers citing papers by Daniel McSkimming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel McSkimming

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

All Works

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20 of 20 papers shown

Zhou, Katherine I., et al.. (2025). Real world efficacy and safety of ivosidenib in US veterans with IDH1 mutated cholangiocarcinoma.. Journal of Clinical Oncology. 43(16_suppl). 4086–4086.

Hovey, Kathleen M., Jean Wactawski‐Wende, Michael J. LaMonte, et al.. (2024). Association Between Healthy Eating Index-2020 and Oral Microbiome Among Postmenopausal Women. Journal of Nutrition. 155(1). 66–77. 5 indexed citations

Yoo, Ji Youn, Daniel McSkimming, Kalavathy Rajan, et al.. (2023). A Preliminary Study Exploring the Relationship between Occupational Health Hazards and Gut Microbiota among Firefighters. Life. 13(9). 1928–1928. 4 indexed citations

Hovey, Kathleen M., Jean Wactawski‐Wende, Jo L. Freudenheim, et al.. (2023). Alcohol Consumption and the Diversity of the Oral Microbiome in Postmenopausal Women. Journal of Nutrition. 154(1). 202–212. 4 indexed citations

Koerner, Rebecca, Stephanie Prescott, Daniel McSkimming, et al.. (2023). The Salivary Microbiome During Pregnancy. The Journal of Perinatal & Neonatal Nursing. 37(4). 287–294. 1 indexed citations

Millen, Amy E., Jo L. Freudenheim, Kathleen M. Hovey, et al.. (2022). Dietary carbohydrate intake is associated with the subgingival plaque oral microbiome abundance and diversity in a cohort of postmenopausal women. Scientific Reports. 12(1). 2643–2643. 28 indexed citations

McSkimming, Daniel, et al.. (2021). Selective nuclear export of mRNAs is promoted by DRBD18 in Trypanosoma brucei. Molecular Microbiology. 116(3). 827–840. 9 indexed citations

Chaves, Lee, Mark A. Bryniarski, Daniel McSkimming, et al.. (2021). Unconjugated p-cresol activates macrophage macropinocytosis leading to increased LDL uptake. JCI Insight. 6(11). 12 indexed citations

Mahajan, Supriya D., Alexander Jacob, Anju Kelkar, et al.. (2021). Local complement factor H protects kidney endothelial cell structure and function. Kidney International. 100(4). 824–836. 30 indexed citations

10.

Jacob, Alexander, et al.. (2021). Exercise alleviates symptoms of CNS lupus. Brain Research. 1765. 147478–147478. 2 indexed citations

11.

LaMonte, Michael J., Chris Andrews, Kathleen M. Hovey, et al.. (2020). Subgingival microbiome is associated with alveolar bone loss measured 5 years later in postmenopausal women. Journal of Periodontology. 92(5). 648–661. 7 indexed citations

12.

LaMonte, Michael J., Robert J. Genco, Michael Buck, et al.. (2019). Composition and diversity of the subgingival microbiome and its relationship with age in postmenopausal women: an epidemiologic investigation. BMC Oral Health. 19(1). 246–246. 22 indexed citations

13.

Gordon, Joshua H., Michael J. LaMonte, Robert J. Genco, et al.. (2019). Is the Oral Microbiome Associated with Blood Pressure in Older Women?. High Blood Pressure & Cardiovascular Prevention. 26(3). 217–225. 26 indexed citations

14.

Huang, Liang‐Chin, Karen Ross, Timothy R. Baffi, et al.. (2018). Integrative annotation and knowledge discovery of kinase post-translational modifications and cancer-associated mutations through federated protein ontologies and resources. Scientific Reports. 8(1). 23 indexed citations

15.

Yacoub, Rabi, Girish N. Nadkarni, Daniel McSkimming, et al.. (2018). Fecal microbiota analysis of polycystic kidney disease patients according to renal function: A pilot study. Experimental Biology and Medicine. 244(6). 505–513. 16 indexed citations

16.

Hattori, Ayuna, Daniel McSkimming, Natarajan Kannan, & Takahiro Ito. (2017). RNA binding protein MSI2 positively regulates FLT3 expression in myeloid leukemia. Leukemia Research. 54. 47–54. 16 indexed citations

17.

McSkimming, Daniel, Khaled Rasheed, & Natarajan Kannan. (2017). Classifying kinase conformations using a machine learning approach. BMC Bioinformatics. 18(1). 86–86. 31 indexed citations

18.

Hattori, Ayuna, Makoto Tsunoda, Takaaki Konuma, et al.. (2017). Cancer progression by reprogrammed BCAA metabolism in myeloid leukaemia. Nature. 545(7655). 500–504. 301 indexed citations

19.

McSkimming, Daniel, Timothy R. Baffi, Dominic P. Byrne, et al.. (2016). KinView: a visual comparative sequence analysis tool for integrated kinome research. Molecular BioSystems. 12(12). 3651–3665. 35 indexed citations

20.

McSkimming, Daniel, Eric Talevich, Samiksha Katiyar, et al.. (2014). ProKinO: A Unified Resource for Mining the Cancer Kinome. Human Mutation. 36(2). 175–186. 39 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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