Daniel Mar

692 total citations
17 papers, 493 citations indexed

About

Daniel Mar is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Daniel Mar has authored 17 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Daniel Mar's work include Epigenetics and DNA Methylation (9 papers), Immune Response and Inflammation (4 papers) and Cancer-related gene regulation (4 papers). Daniel Mar is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Immune Response and Inflammation (4 papers) and Cancer-related gene regulation (4 papers). Daniel Mar collaborates with scholars based in United States, Poland and Israel. Daniel Mar's co-authors include Karol Bomsztyk, Oleg Denisenko, Charles E. Alpers, Mei Wang, Rama Natarajan, Hang Yuan, Linda Lanting, Marpadga A. Reddy, Sina A. Gharib and Sumanth Putta and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Daniel Mar

16 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Mar United States	11	280	95	80	71	69	17	493
Ze Bo Hu China	12	181 0.6×	139 1.5×	67 0.8×	69 1.0×	84 1.2×	19	464
Linda Lewis United States	7	124 0.4×	101 1.1×	44 0.6×	81 1.1×	103 1.5×	8	415
Peter Fitzgerald France	11	160 0.6×	47 0.5×	55 0.7×	29 0.4×	43 0.6×	38	387
Jennifer Hawkins United States	7	144 0.5×	214 2.3×	121 1.5×	41 0.6×	75 1.1×	8	525
Freddy Romero United States	10	117 0.4×	114 1.2×	80 1.0×	47 0.7×	86 1.2×	18	565
Denis Delić Germany	16	397 1.4×	97 1.0×	81 1.0×	104 1.5×	99 1.4×	32	624
Mária Godó Hungary	10	237 0.8×	133 1.4×	76 0.9×	28 0.4×	43 0.6×	18	478
Eiichiro Satake Japan	10	159 0.6×	82 0.9×	25 0.3×	59 0.8×	41 0.6×	25	348
Javier Varona Santos United States	8	140 0.5×	194 2.0×	68 0.8×	52 0.7×	98 1.4×	11	409
Jiejun Wen China	10	176 0.6×	213 2.2×	60 0.8×	24 0.3×	62 0.9×	14	463

Countries citing papers authored by Daniel Mar

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mar

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

All Works

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17 of 17 papers shown

Kumari, Priyanka, Sarah W. Curtis, Kitt Paraiso, et al.. (2025). Identification of functional non-coding variants associated with orofacial cleft. Nature Communications. 16(1). 6545–6545.

Bomsztyk, Karol, Daniel Mar, Oleg Denisenko, et al.. (2024). Analysis of DNA Methylation in Gliomas: Assessment of Preanalytical Variables. Laboratory Investigation. 104(12). 102160–102160. 5 indexed citations

Mar, Daniel, Ran Zhang, William Stafford Noble, et al.. (2023). A High-Throughput PIXUL–Matrix-Based Toolbox to Profile Frozen and Formalin-Fixed Paraffin-Embedded Tissues Multiomes. Laboratory Investigation. 104(1). 100282–100282. 4 indexed citations

Altemeier, William A., Dowon An, Thomas J. Matula, et al.. (2023). CryoGrid-PIXUL-RNA: high throughput RNA isolation platform for tissue transcript analysis. BMC Genomics. 24(1). 446–446. 4 indexed citations

Levy, Shiri, Ashish Phal, Sven Schmidt, et al.. (2022). dCas9 fusion to computer-designed PRC2 inhibitor reveals functional TATA box in distal promoter region. Cell Reports. 38(9). 110457–110457. 14 indexed citations

Kulecka, Maria, Jerzy Ostrowski, Daniel Mar, et al.. (2021). Multi-Organ Transcriptome Dynamics in a Mouse Model of Cecal Ligation and Puncture-Induced Polymicrobial Sepsis. Journal of Inflammation Research. Volume 14. 2377–2388. 16 indexed citations

Kanter, Jenny E., Baohai Shao, Farah Kramer, et al.. (2019). Increased apolipoprotein C3 drives cardiovascular risk in type 1 diabetes. Journal of Clinical Investigation. 129(10). 4165–4179. 77 indexed citations

Bomsztyk, Karol, Daniel Mar, Yuliang Wang, et al.. (2019). PIXUL-ChIP: integrated high-throughput sample preparation and analytical platform for epigenetic studies. Nucleic Acids Research. 47(12). e69–e69. 13 indexed citations

Denisenko, Oleg, Daniel Mar, Matthew Trawczynski, & Karol Bomsztyk. (2018). Chromatin changes trigger laminin genes dysregulation in aging kidneys. Aging. 10(5). 1133–1145. 9 indexed citations

10.

Denisenko, Oleg, Emma S. Lucas, Congshan Sun, et al.. (2016). Regulation of ribosomal RNA expression across the lifespan is fine-tuned by maternal diet before implantation. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(7). 906–913. 30 indexed citations

11.

Mar, Daniel, Sina A. Gharib, Richard A. Zager, et al.. (2015). Heterogeneity of epigenetic changes at ischemia/reperfusion- and endotoxin-induced acute kidney injury genes. Kidney International. 88(4). 734–744. 37 indexed citations

12.

Bomsztyk, Karol, Daniel Mar, Dowon An, et al.. (2015). Experimental acute lung injury induces multi-organ epigenetic modifications in key angiogenic genes implicated in sepsis-associated endothelial dysfunction. Critical Care. 19(1). 225–225. 44 indexed citations

13.

Gharib, Sina A., Daniel Mar, Karol Bomsztyk, et al.. (2015). System-Wide Mapping of Activated Circuitry in Experimental Systemic Inflammatory Response Syndrome. Shock. 45(2). 148–156. 9 indexed citations

14.

Bomsztyk, Karol, Daniel Mar, Michał Mikuła, et al.. (2013). Synchronous Recruitment of Epigenetic Modifiers to Endotoxin Synergistically Activated Tnf-α Gene in Acute Kidney Injury. PLoS ONE. 8(7). e70322–e70322. 18 indexed citations

15.

Reddy, Marpadga A., Sumanth Putta, Linda Lanting, et al.. (2013). Losartan reverses permissive epigenetic changes in renal glomeruli of diabetic db/db mice. Kidney International. 85(2). 362–373. 111 indexed citations

16.

Rubinow, Katya B., Valerie Wall, Joel D. Nelson, et al.. (2013). Acyl-CoA Synthetase 1 Is Induced by Gram-negative Bacteria and Lipopolysaccharide and Is Required for Phospholipid Turnover in Stimulated Macrophages. Journal of Biological Chemistry. 288(14). 9957–9970. 57 indexed citations

17.

Komers, Radko, Daniel Mar, Oleg Denisenko, et al.. (2013). Epigenetic changes in renal genes dysregulated in mouse and rat models of type 1 diabetes. Laboratory Investigation. 93(5). 543–552. 45 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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