Havell Markus

651 total citations
17 papers, 265 citations indexed

About

Havell Markus is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Havell Markus has authored 17 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Havell Markus's work include Cancer Genomics and Diagnostics (5 papers), Genetic Associations and Epidemiology (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Havell Markus is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genetic Associations and Epidemiology (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Havell Markus collaborates with scholars based in United States, Myanmar and United Kingdom. Havell Markus's co-authors include Tania Contente‐Cuomo, Muhammed Murtaza, Mitesh J. Borad, Simon Gollins, Alan H. Bryce, Michael E. Berens, Winnie S. Liang, Antoni Ribas, Nhan L. Tran and Shivan Sivakumar and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Havell Markus

17 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Havell Markus United States 7 177 130 58 56 35 17 265
Maniesh van der Vaart South Africa 4 179 1.0× 135 1.0× 73 1.3× 43 0.8× 59 1.7× 4 282
Yujun Gu China 8 215 1.2× 200 1.5× 86 1.5× 135 2.4× 14 0.4× 9 357
Songyu Cao China 8 63 0.4× 98 0.8× 63 1.1× 27 0.5× 29 0.8× 18 216
Caitlin M. Stewart United States 6 171 1.0× 177 1.4× 90 1.6× 59 1.1× 48 1.4× 8 317
R. Pinto Italy 7 76 0.4× 195 1.5× 83 1.4× 23 0.4× 35 1.0× 8 310
Robertson Mackenzie Canada 6 77 0.4× 96 0.7× 52 0.9× 62 1.1× 42 1.2× 6 334
Zhongqiu Lin China 10 241 1.4× 248 1.9× 104 1.8× 22 0.4× 16 0.5× 34 434
Ana Carolina Laus Brazil 9 148 0.8× 150 1.2× 84 1.4× 40 0.7× 9 0.3× 28 276
Veronica R. Holley United States 4 67 0.4× 45 0.3× 55 0.9× 51 0.9× 37 1.1× 14 169
Irene Papaspyrou Greece 9 65 0.4× 96 0.7× 106 1.8× 50 0.9× 16 0.5× 13 262

Countries citing papers authored by Havell Markus

Since Specialization
Citations

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

Fields of papers citing papers by Havell Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Havell Markus

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

All Works

17 of 17 papers shown
1.
Markus, Havell, Siyuan Chen, Shuang Gao, et al.. (2025). An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment. Cell Genomics. 5(4). 100820–100820. 2 indexed citations
2.
Gao, Shuang, Siyuan Chen, Havell Markus, et al.. (2025). Integrating axis quantitative trait loci looks beyond cell types and offers insights into brain-related traits. Nature Communications. 16(1). 10606–10606. 1 indexed citations
3.
Wang, Chen, Havell Markus, Avantika R. Diwadkar, et al.. (2025). Integrating electronic health records and GWAS summary statistics to predict the progression of autoimmune diseases from preclinical stages. Nature Communications. 16(1). 180–180. 2 indexed citations
4.
Markus, Havell, et al.. (2025). The CXCR6-CXCL16 axis mediates T cell control of polyomavirus infection in the kidney. PLoS Pathogens. 21(3). e1012969–e1012969. 3 indexed citations
5.
Markus, Havell, Gary D. Ceneviva, Neal J. Thomas, & Conrad Krawiec. (2025). Impact of substance use disorders on critical care management and health outcomes in septic adolescents. Annals of Intensive Care. 15(1). 63–63. 1 indexed citations
6.
Markus, Havell, Gary D. Ceneviva, Neal J. Thomas, & Conrad Krawiec. (2024). Supraventricular tachycardia diagnosis in asthma patients is associated with adverse health outcomes. Pediatric Pulmonology. 59(12). 3410–3418. 1 indexed citations
7.
McGuire, Daniel, Havell Markus, Lina Yang, et al.. (2024). Dissecting heritability, environmental risk, and air pollution causal effects using > 50 million individuals in MarketScan. Nature Communications. 15(1). 5357–5357. 3 indexed citations
8.
Khunsriraksakul, Chachrit, Havell Markus, Fang Chen, et al.. (2024). Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes. Nature Communications. 15(1). 4260–4260. 9 indexed citations
9.
Markus, Havell, Mechelle M. Lewis, Vishal Midya, et al.. (2023). Neuronally enriched microvesicle RNAs are differentially expressed in the serums of Parkinson’s patients. Frontiers in Neuroscience. 17. 7 indexed citations
10.
Khunsriraksakul, Chachrit, Havell Markus, Matthew T. Patrick, et al.. (2023). Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus. Nature Communications. 14(1). 668–668. 26 indexed citations
11.
Xu, Xiaoguang, Chachrit Khunsriraksakul, James Eales, et al.. (2023). S-22-3: UNCOVERING NEW GENES, TISSUES AND THERAPEUTIC TARGETS FOR BLOOD PRESSURE THROUGH LARGE-SCALE TRANSCRIPTOME-WIDE ASSOCIATION STUDIES. Journal of Hypertension. 41(Suppl 1). e53–e54. 1 indexed citations
12.
Khunsriraksakul, Chachrit, Havell Markus, Nancy J. Olsen, et al.. (2022). Construction and Application of Polygenic Risk Scores in Autoimmune Diseases. Frontiers in Immunology. 13. 889296–889296. 12 indexed citations
13.
Markus, Havell, Dineika Chandrananda, Elizabeth Moore, et al.. (2022). Refined characterization of circulating tumor DNA through biological feature integration. Scientific Reports. 12(1). 1928–1928. 33 indexed citations
14.
Markus, Havell, Tania Contente‐Cuomo, Ahuva Odenheimer-Bergman, et al.. (2021). Analysis of recurrently protected genomic regions in cell-free DNA found in urine. Science Translational Medicine. 13(581). 52 indexed citations
15.
Kisat, Mehreen, Ahuva Odenheimer-Bergman, Havell Markus, et al.. (2021). Plasma metagenomic sequencing to detect and quantify bacterial DNA in ICU patients suspected of sepsis: A proof-of-principle study. The Journal of Trauma: Injury, Infection, and Critical Care. 91(6). 988–994. 3 indexed citations
16.
Markus, Havell, Tania Contente‐Cuomo, Maria Farooq, et al.. (2018). Evaluation of pre-analytical factors affecting plasma DNA analysis. Scientific Reports. 8(1). 7375–7375. 107 indexed citations
17.
Farooq, Maria, Jan B. Egan, Bradon R. McDonald, et al.. (2018). Detection of copy number aberrations in cholangiocarcinoma using shallow whole genome sequencing of plasma DNA.. Journal of Clinical Oncology. 36(4_suppl). 293–293. 2 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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