Henry Webel

741 total citations · 1 hit paper
8 papers, 240 citations indexed

About

Henry Webel is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Henry Webel has authored 8 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Epidemiology. Recurrent topics in Henry Webel's work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). Henry Webel is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). Henry Webel collaborates with scholars based in Denmark, United States and Germany. Henry Webel's co-authors include Simon Rasmussen, Lili Niu, Matthias Mann, Rajat Gupta, Suganya Jacobsen, Maximilian T. Strauss, Torben Hansen, Ditlev Nytoft Rasmussen, Philipp E. Geyer and Alberto Santos and has published in prestigious journals such as Nature Medicine, Nature Communications and Scientific Reports.

In The Last Decade

Henry Webel

8 papers receiving 239 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.

Noninvasive proteomic biomarkers for alcohol-related liver disease

2022 154 citations Lili Niu, Maja Thiele et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Henry Webel Denmark	6	103	66	61	42	34	8	240
Jaimi L. Brown United States	7	275 2.7×	63 1.0×	51 0.8×	7 0.2×	23 0.7×	7	446
Robert P. Tonge United Kingdom	7	159 1.5×	34 0.5×	89 1.5×	7 0.2×	11 0.3×	9	405
Tzu-Ling Tseng Taiwan	9	185 1.8×	55 0.8×	27 0.4×	9 0.2×	15 0.4×	12	313
Xinge Cui China	9	229 2.2×	17 0.3×	58 1.0×	7 0.2×	14 0.4×	27	343
Sridhar Veeraraghavan India	11	127 1.2×	15 0.2×	22 0.4×	14 0.3×	23 0.7×	27	345
Cheng‐Pang Hsu United States	10	186 1.8×	21 0.3×	25 0.4×	42 1.0×	31 0.9×	22	379
Serguei Ilchenko United States	12	126 1.2×	74 1.1×	69 1.1×	4 0.1×	10 0.3×	20	343
Tian Ran Zhu United States	9	168 1.6×	24 0.4×	6 0.1×	133 3.2×	41 1.2×	17	373
Susan Grepper United States	7	307 3.0×	46 0.7×	10 0.2×	11 0.3×	42 1.2×	8	545

Countries citing papers authored by Henry Webel

Since Specialization

Citations

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

Fields of papers citing papers by Henry Webel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Webel

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

All Works

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8 of 8 papers shown

1.

Zheng, Ping, Enrique Audain, Henry Webel, et al.. (2025). Ibaqpy: A scalable Python package for baseline quantification in proteomics leveraging SDRF metadata. Journal of Proteomics. 317. 105440–105440. 2 indexed citations

2.

Webel, Henry, Yasset Pérez‐Riverol, Annelaura Bach Nielsen, & Simon Rasmussen. (2024). Mass spectrometry-based proteomics data from thousands of HeLa control samples. Scientific Data. 11(1). 112–112. 6 indexed citations

3.

Webel, Henry, Lili Niu, Annelaura Bach Nielsen, et al.. (2024). Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning. Nature Communications. 15(1). 5405–5405. 18 indexed citations

4.

Webel, Henry, Karen Vagner Danielsen, Lise Hobolth, et al.. (2023). Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study. Scientific Reports. 13(1). 20039–20039. 6 indexed citations

5.

Jespersen, Marie Louise, Patrick Munk, Joachim Johansen, et al.. (2023). Global within-species phylogenetics of sewage microbes suggest that local adaptation shapes geographical bacterial clustering. Communications Biology. 6(1). 700–700. 6 indexed citations

6.

Niu, Lili, Maja Thiele, Philipp E. Geyer, et al.. (2022). Noninvasive proteomic biomarkers for alcohol-related liver disease. Nature Medicine. 28(6). 1277–1287. 154 indexed citations breakdown →

7.

Luo, Xiyang, Wout Bittremieux, Johannes Griss, et al.. (2022). A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics. Journal of Proteome Research. 21(6). 1566–1574. 5 indexed citations

8.

Webel, Henry, Talia B. Kimber, Silke Radetzki, et al.. (2020). Revealing cytotoxic substructures in molecules using deep learning. Journal of Computer-Aided Molecular Design. 34(7). 731–746. 43 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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