Ulises H. Guzmán

633 total citations · 1 hit paper
7 papers, 168 citations indexed

About

Ulises H. Guzmán is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Ulises H. Guzmán has authored 7 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in Ulises H. Guzmán's work include Advanced Proteomics Techniques and Applications (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer-related gene regulation (2 papers). Ulises H. Guzmán is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer-related gene regulation (2 papers). Ulises H. Guzmán collaborates with scholars based in Denmark, Sweden and Germany. Ulises H. Guzmán's co-authors include Jesper V. Olsen, Magnus E. Jakobsson, Marijke Baltissen, Yeji Kim, Michiel Vermeulen, Finn Kirpekar, Pierre‐Emmanuel Gleizes, Marie-Françoise O’Donohue, Sebastian A. Leidel and Rita Pinto and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ulises H. Guzmán

6 papers receiving 168 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.

Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics

2025 22 citations Zilu Ye, Pierre Sabatier et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulises H. Guzmán Denmark	5	158	70	23	20	15	7	168
Collin Wetzel United States	7	253 1.6×	54 0.8×	17 0.7×	20 1.0×	8 0.5×	9	266
Rayzel C. Fernandes United Kingdom	6	106 0.7×	52 0.7×	8 0.3×	24 1.2×	5 0.3×	9	159
Chamara Senevirathne United States	8	260 1.6×	95 1.4×	19 0.8×	21 1.1×	29 1.9×	8	285
S Naeim Moafinejad Poland	6	234 1.5×	44 0.6×	7 0.3×	20 1.0×	14 0.9×	9	251
Xinyue Zhang China	6	105 0.7×	40 0.6×	6 0.3×	13 0.7×	5 0.3×	9	143
Mihika Pradhan United States	7	374 2.4×	70 1.0×	4 0.2×	13 0.7×	27 1.8×	7	392
Monalisa Swain United States	8	113 0.7×	25 0.4×	9 0.4×	15 0.8×	4 0.3×	15	137
Ted Goldstein United States	2	107 0.7×	26 0.4×	32 1.4×	18 0.9×	3 0.2×	4	131

Countries citing papers authored by Ulises H. Guzmán

Since Specialization

Citations

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

Fields of papers citing papers by Ulises H. Guzmán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulises H. Guzmán. 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 Ulises H. Guzmán. The network helps show where Ulises H. Guzmán may publish in the future.

Co-authorship network of co-authors of Ulises H. Guzmán

This figure shows the co-authorship network connecting the top 25 collaborators of Ulises H. Guzmán. A scholar is included among the top collaborators of Ulises H. Guzmán 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 Ulises H. Guzmán. Ulises H. Guzmán 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.

Germinario, Elena, et al.. (2025). A combined experimental and computational analysis of mantATP turnover in skinned muscle fibers. Proceedings of the National Academy of Sciences. 122(20). e2502652122–e2502652122.

2.

Ye, Zilu, Pierre Sabatier, Ulises H. Guzmán, et al.. (2025). Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics. Nature Methods. 22(3). 499–509. 22 indexed citations breakdown →

3.

Sabatier, Pierre, Ulises H. Guzmán, Longteng Wang, et al.. (2025). Global analysis of protein turnover dynamics in single cells. Cell. 188(9). 2433–2450.e21. 6 indexed citations

4.

Ogata, Kosuke, Ulises H. Guzmán, Yue Xuan, et al.. (2024). Extending the Coverage of Lys-C/Trypsin-Based Bottom-up Proteomics by Cysteine S-Aminoethylation. Journal of the American Society for Mass Spectrometry. 35(2). 386–396. 1 indexed citations

5.

Guzmán, Ulises H., Henriette Aksnes, Rasmus Ree, et al.. (2023). Loss of N-terminal acetyltransferase A activity induces thermally unstable ribosomal proteins and increases their turnover in Saccharomyces cerevisiae. Nature Communications. 14(1). 4517–4517. 11 indexed citations

6.

Martínez‐Val, Ana, Ulises H. Guzmán, & Jesper V. Olsen. (2022). Obtaining Complete Human Proteomes. Annual Review of Genomics and Human Genetics. 23(1). 99–121. 15 indexed citations

7.

Pinto, Rita, Cathrine Broberg Vågbø, Magnus E. Jakobsson, et al.. (2019). The human methyltransferase ZCCHC4 catalyses N6-methyladenosine modification of 28S ribosomal RNA. Nucleic Acids Research. 48(2). 830–846. 113 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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