Daniel N. Conrad

1.1k total citations · 1 hit paper
8 papers, 490 citations indexed

About

Daniel N. Conrad is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Daniel N. Conrad has authored 8 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Cancer Research. Recurrent topics in Daniel N. Conrad's work include Single-cell and spatial transcriptomics (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Daniel N. Conrad is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Daniel N. Conrad collaborates with scholars based in United States, United Kingdom and Türkiye. Daniel N. Conrad's co-authors include Zev J. Gartner, Christopher S. McGinnis, Vasudha Srivastava, Lyndsay M. Murrow, David M. Patterson, Eric D. Chow, Jonathan S. Weissman, Zena Werb, Marco Y. Hein and Jennifer L. Hu and has published in prestigious journals such as Nature Communications, Nature Methods and Cell stem cell.

In The Last Decade

Daniel N. Conrad

7 papers receiving 484 citations

Hit Papers

MULTI-seq: sample multiplexing for single-cell RNA sequen... 2019 2026 2021 2023 2019 100 200 300
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.

  1. MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
    2019 340 citations Christopher S. McGinnis, David M. Patterson et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel N. Conrad United States 6 356 101 87 78 62 8 490
Soumyashree Das United States 10 476 1.3× 57 0.6× 88 1.0× 71 0.9× 21 0.3× 31 717
Despina Soteriou Germany 12 233 0.7× 34 0.3× 68 0.8× 48 0.6× 103 1.7× 18 542
Mika Kaakinen Finland 15 224 0.6× 52 0.5× 97 1.1× 53 0.7× 59 1.0× 41 539
Vignesh Shanmugam United States 13 256 0.7× 77 0.8× 138 1.6× 84 1.1× 26 0.4× 36 629
Kyle Coleman United States 12 550 1.5× 75 0.7× 50 0.6× 109 1.4× 40 0.6× 28 975
Aline Roch Switzerland 11 233 0.7× 51 0.5× 44 0.5× 104 1.3× 99 1.6× 14 557
Nir Neumark United States 7 342 1.0× 65 0.6× 60 0.7× 163 2.1× 29 0.5× 12 970
Carlos Luzzani Argentina 17 489 1.4× 117 1.2× 82 0.9× 24 0.3× 86 1.4× 29 695
Alejandro La Greca Argentina 11 193 0.5× 66 0.7× 37 0.4× 32 0.4× 51 0.8× 13 306
Tai‐I Hsu Taiwan 14 359 1.0× 212 2.1× 100 1.1× 39 0.5× 18 0.3× 21 668

Countries citing papers authored by Daniel N. Conrad

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Conrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel N. Conrad

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

All Works

8 of 8 papers shown
1.
Korotkevich, Ekaterina, Daniel N. Conrad, Zev J. Gartner, & Patrick H. O’Farrell. (2025). Selfish mutations promote age-associated erosion of mtDNA integrity in mammals. Nature Communications. 16(1). 5435–5435.
2.
Zhu, Qin, Daniel N. Conrad, & Zev J. Gartner. (2024). deMULTIplex2: robust sample demultiplexing for scRNA-seq. Genome biology. 25(1). 37–37. 5 indexed citations
3.
Huang, Ling, Ridhdhi Desai, Daniel N. Conrad, et al.. (2021). Commitment and oncogene-induced plasticity of human stem cell-derived pancreatic acinar and ductal organoids. Cell stem cell. 28(6). 1090–1104.e6. 73 indexed citations
4.
Thibodeau, Asa, Alper Eroğlu, Christopher S. McGinnis, et al.. (2021). AMULET: a novel read count-based method for effective multiplet detection from single nucleus ATAC-seq data. Genome biology. 22(1). 252–252. 35 indexed citations
5.
McGinnis, Christopher S., David M. Patterson, Juliane Winkler, et al.. (2019). MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nature Methods. 16(7). 619–626. 340 indexed citations breakdown →
6.
Conrad, Daniel N., et al.. (2013). The role of household transmission in an outbreak of viral gastroenteritis in a primary school in Liverpool, England. Public Health. 127(9). 882–884. 5 indexed citations
7.
8.
Conrad, Daniel N. & Guilherme N. DeSouza. (2010). Homography-based ground plane detection for mobile robot navigation using a Modified EM algorithm. 910–915. 31 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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