Daniel A. Schmitz

947 total citations · 1 hit paper
7 papers, 508 citations indexed

About

Daniel A. Schmitz is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Daniel A. Schmitz has authored 7 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Epidemiology. Recurrent topics in Daniel A. Schmitz's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (4 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel A. Schmitz is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (4 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel A. Schmitz collaborates with scholars based in United States, China and India. Daniel A. Schmitz's co-authors include Jun Wu, Leqian Yu, Masahiro Sakurai, Yulei Wei, Jialei Duan, Shuhua Zhao, Lei Wang, Kunhua Wang, Gary C. Hon and A. Mutto and has published in prestigious journals such as Nature, Cell and Cell stem cell.

In The Last Decade

Daniel A. Schmitz

6 papers receiving 502 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.

Blastocyst-like structures generated from human pluripotent stem cells

2021 318 citations Leqian Yu, Yulei Wei et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A. Schmitz United States	4	438	88	65	64	50	7	508
Harunobu Kagawa Austria	9	392 0.9×	85 1.0×	50 0.8×	42 0.7×	41 0.8×	12	495
Alok Javali Austria	5	304 0.7×	76 0.9×	44 0.7×	45 0.7×	40 0.8×	8	392
Giovanni Sestini Austria	6	304 0.7×	81 0.9×	54 0.8×	41 0.6×	26 0.5×	8	402
Daniel Spindlow United Kingdom	5	583 1.3×	97 1.1×	61 0.9×	82 1.3×	58 1.2×	6	646
Alexandre Bruneau France	3	372 0.8×	127 1.4×	45 0.7×	47 0.7×	48 1.0×	3	480
Yvonne Scholte op Reimer Austria	5	282 0.6×	81 0.9×	54 0.8×	41 0.6×	24 0.5×	7	373
Bailey A. T. Weatherbee United States	10	452 1.0×	127 1.4×	66 1.0×	53 0.8×	51 1.0×	14	623
Sophie Loubersac France	5	376 0.9×	150 1.7×	45 0.7×	47 0.7×	52 1.0×	12	506
Gaël Castel France	3	237 0.5×	70 0.8×	40 0.6×	33 0.5×	28 0.6×	3	315
Leila Christie United Kingdom	8	634 1.4×	139 1.6×	54 0.8×	59 0.9×	89 1.8×	12	714

Countries citing papers authored by Daniel A. Schmitz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Schmitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Schmitz

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

All Works

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7 of 7 papers shown

1.

Schmitz, Daniel A., Seiya Oura, Yi Ding, et al.. (2025). Unraveling mitochondrial influence on mammalian pluripotency via enforced mitophagy. Cell. 188(17). 4773–4789.e22.

2.

Pinzón-Arteaga, Carlos A., Ryan O’Hara, Alice Mazzagatti, et al.. (2024). TASOR expression in naive embryonic stem cells safeguards their developmental potential. Cell Reports. 43(11). 114887–114887. 1 indexed citations

3.

Ni, Chunyang, Daniel A. Schmitz, Jeon Lee, et al.. (2022). Labeling of heterochronic ribosomes reveals C1ORF109 and SPATA5 control a late step in human ribosome assembly. Cell Reports. 38(13). 110597–110597. 18 indexed citations

4.

Zhai, Jinglei, Jing Guo, Haifeng Wan, et al.. (2022). Primate gastrulation and early organogenesis at single-cell resolution. Nature. 612(7941). 732–738. 46 indexed citations

5.

Schmitz, Daniel A. & Jun Wu. (2022). Hidden totipotency in naïve human pluripotent stem cell cultures. PubMed. 1(3). 250–253. 1 indexed citations

6.

Yu, Leqian, Yulei Wei, Jialei Duan, et al.. (2021). Blastocyst-like structures generated from human pluripotent stem cells. Nature. 591(7851). 620–626. 318 indexed citations breakdown →

7.

Yu, Leqian, Yulei Wei, Hai-Xi Sun, et al.. (2020). Derivation of Intermediate Pluripotent Stem Cells Amenable to Primordial Germ Cell Specification. Cell stem cell. 28(3). 550–567.e12. 124 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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