Per Oksvold

35.5k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Per Oksvold is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Per Oksvold has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Spectroscopy and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Per Oksvold's work include Advanced Proteomics Techniques and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Per Oksvold is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Per Oksvold collaborates with scholars based in Sweden, Denmark and India. Per Oksvold's co-authors include Mathias Uhlén, Fredrik Pontén, Erik Björling, Emma Lundberg, Anna Asplund, Sophia Hober, Caroline Kampf, Linn Fagerberg, Sanjay Navani and Peter Nilsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular & Cellular Proteomics.

In The Last Decade

Per Oksvold

16 papers receiving 1.0k 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.

A Genecentric Human Protein Atlas for Expression Profiles Based on Antibodies

2008 501 citations Lisa Berglund, Erik Björling et al. Molecular & Cellular Proteomics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Per Oksvold Sweden	12	804	204	175	106	97	16	1.1k
Åsa Sivertsson Sweden	14	681 0.8×	122 0.6×	178 1.0×	137 1.3×	83 0.9×	24	966
Erik Björling Sweden	10	1.0k 1.2×	258 1.3×	368 2.1×	138 1.3×	116 1.2×	13	1.3k
Amy VanMeter United States	7	653 0.8×	173 0.8×	85 0.5×	107 1.0×	94 1.0×	7	1.0k
Sanjay Navani Sweden	13	754 0.9×	132 0.6×	123 0.7×	156 1.5×	88 0.9×	18	1.1k
Maria T. Baquero United States	6	538 0.7×	45 0.2×	138 0.8×	146 1.4×	56 0.6×	7	751
Martin Frejno Germany	15	925 1.2×	283 1.4×	35 0.2×	133 1.3×	94 1.0×	17	1.3k
Maike Ahrens Germany	19	531 0.7×	217 1.1×	33 0.2×	115 1.1×	67 0.7×	31	908
Douglas H. Phanstiel United States	18	1.6k 2.0×	364 1.8×	50 0.3×	134 1.3×	80 0.8×	41	2.0k
Igor A. Gak Germany	4	892 1.1×	123 0.6×	36 0.2×	110 1.0×	275 2.8×	4	1.1k
Andrew B. Stergachis United States	15	1.4k 1.7×	190 0.9×	46 0.3×	74 0.7×	58 0.6×	42	1.7k

Countries citing papers authored by Per Oksvold

Since Specialization

Citations

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

Fields of papers citing papers by Per Oksvold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Oksvold

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Zhong, Wen, Swapnali Barde, Nicholas Mitsios, et al.. (2022). The neuropeptide landscape of human prefrontal cortex. Proceedings of the National Academy of Sciences. 119(33). e2123146119–e2123146119. 28 indexed citations

Li, Xiangyü, Woonghee Kim, Muhammad Arif, et al.. (2021). Discovery of Functional Alternatively Spliced PKM Transcripts in Human Cancers. Cancers. 13(2). 348–348. 10 indexed citations

Sivertsson, Åsa, Per Oksvold, Borbala Katona, et al.. (2020). Enhanced Validation of Antibodies Enables the Discovery of Missing Proteins. Journal of Proteome Research. 19(12). 4766–4781. 16 indexed citations

Pineau, Charles, Feria Hikmet, Cheng Zhang, et al.. (2019). Cell Type-Specific Expression of Testis Elevated Genes Based on Transcriptomics and Antibody-Based Proteomics. Journal of Proteome Research. 18(12). 4215–4230. 25 indexed citations

Edfors, Fredrik, Andreas Hober, Gianluca Maddalo, et al.. (2018). Enhanced validation of antibodies for research applications. Nature Communications. 9(1). 4130–4130. 62 indexed citations

Sjöstedt, Evelina, Åsa Sivertsson, Feria Hikmet, et al.. (2018). Integration of Transcriptomics and Antibody-Based Proteomics for Exploration of Proteins Expressed in Specialized Tissues. Journal of Proteome Research. 17(12). 4127–4137. 13 indexed citations

Stadler, Charlotte, Linn Fagerberg, Åsa Sivertsson, et al.. (2014). RNA- and Antibody-Based Profiling of the Human Proteome with Focus on Chromosome 19. Journal of Proteome Research. 13(4). 2019–2027. 7 indexed citations

Kampf, Caroline, Julia Bergman, Per Oksvold, et al.. (2012). A tool to facilitate clinical biomarker studies - a tissue dictionary based on the Human Protein Atlas. BMC Medicine. 10(1). 103–103. 20 indexed citations

Uhlén, Mathias, Per Oksvold, Cajsa Älgenäs, et al.. (2011). Antibody-based Protein Profiling of the Human Chromosome 21. Molecular & Cellular Proteomics. 11(3). M111.013458–M111.013458. 18 indexed citations

10.

Pontén, Fredrik, Marcus Gry, Linn Fagerberg, et al.. (2009). A global view of protein expression in human cells, tissues, and organs. Molecular Systems Biology. 5(1). 337–337. 165 indexed citations

11.

Lundberg, Emma, Marcus Gry, Per Oksvold, et al.. (2008). The correlation between cellular size and protein expression levels — Normalization for global protein profiling. Journal of Proteomics. 71(4). 448–460. 19 indexed citations

12.

Berglund, Lisa, Erik Björling, Per Oksvold, et al.. (2008). A Genecentric Human Protein Atlas for Expression Profiles Based on Antibodies. Molecular & Cellular Proteomics. 7(10). 2019–2027. 501 indexed citations breakdown →

13.

Barbe, Laurent, Emma Lundberg, Per Oksvold, et al.. (2007). Toward a Confocal Subcellular Atlas of the Human Proteome. Molecular & Cellular Proteomics. 7(3). 499–508. 119 indexed citations

14.

Björling, Erik, Cecilia Lindskog, Per Oksvold, et al.. (2007). A Web-based Tool for in Silico Biomarker Discovery Based on Tissue-specific Protein Profiles in Normal and Cancer Tissues. Molecular & Cellular Proteomics. 7(5). 825–844. 72 indexed citations

15.

Björling, Erik, et al.. (2006). Human protein atlas, version 2. Molecular & Cellular Proteomics. 5(10). 1 indexed citations

16.

Björling, Erik, et al.. (2005). The creation and usage of a human protein atlas database. Molecular & Cellular Proteomics. 4(8). 1 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.

Explore authors with similar magnitude of impact