Johan Gobom

8.3k total citations · 2 hit papers
117 papers, 5.2k citations indexed

About

Johan Gobom is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Johan Gobom has authored 117 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 50 papers in Physiology and 43 papers in Spectroscopy. Recurrent topics in Johan Gobom's work include Alzheimer's disease research and treatments (50 papers), Advanced Proteomics Techniques and Applications (41 papers) and Mass Spectrometry Techniques and Applications (24 papers). Johan Gobom is often cited by papers focused on Alzheimer's disease research and treatments (50 papers), Advanced Proteomics Techniques and Applications (41 papers) and Mass Spectrometry Techniques and Applications (24 papers). Johan Gobom collaborates with scholars based in Sweden, United Kingdom and Germany. Johan Gobom's co-authors include Eckhard Nordhoff, Peter Roepstorff, Kaj Blennow, Henrik Zetterberg, Hans Lehrach, Ekaterina Mirgorodskaya, Rolf Ekman, Erik Portelius, Oskar Hansson and Patrick Giavalisco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Johan Gobom

112 papers receiving 5.1k 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.

Sample purification and preparation technique based on nano-scale reversed-phase columns for the sensitive analysis of complex peptide mixtures by matrix-assisted laser desorption/ionization mass spectrometry

1999 618 citations Johan Gobom et al. profile →
Establishment of reference values for plasma neurofilament light based on healthy individuals aged 5–90 years

2022 111 citations Joel Simrén, Ulf Andréasson et al. Brain Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Gobom Sweden	41	2.8k	1.5k	1.4k	579	358	117	5.2k
Anne Poljak Australia	41	2.4k 0.9×	798 0.5×	1.4k 1.0×	307 0.5×	264 0.7×	112	5.0k
Vladislav Petyuk United States	39	2.8k 1.0×	1.5k 1.0×	962 0.7×	199 0.3×	276 0.8×	118	4.8k
Malcolm Ward United Kingdom	39	3.2k 1.2×	530 0.4×	1.7k 1.2×	372 0.6×	1.2k 3.5×	100	5.8k
Jeffrey Huang United Kingdom	33	2.1k 0.7×	312 0.2×	854 0.6×	324 0.6×	562 1.6×	100	4.6k
Cristina Legido‐Quigley United Kingdom	35	2.6k 0.9×	763 0.5×	1.6k 1.1×	199 0.3×	184 0.5×	121	4.8k
Wen Yi United States	43	3.6k 1.3×	332 0.2×	1.4k 1.0×	163 0.3×	860 2.4×	119	6.9k
Katrin Marcus Germany	46	3.8k 1.4×	1.5k 1.0×	1.0k 0.7×	87 0.2×	599 1.7×	247	6.3k
Christophe Hirtz France	31	1.5k 0.5×	331 0.2×	1.4k 1.0×	335 0.6×	229 0.6×	149	3.7k
Alessandra Castegna Italy	38	4.5k 1.6×	324 0.2×	2.9k 2.1×	149 0.3×	572 1.6×	62	8.6k
Michael Kinter United States	53	4.7k 1.7×	547 0.4×	1.9k 1.4×	75 0.1×	292 0.8×	190	9.4k

Countries citing papers authored by Johan Gobom

Since Specialization

Citations

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

Fields of papers citing papers by Johan Gobom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Gobom

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

All Works

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20 of 20 papers shown

Becker, Bruno, Johan Gobom, Gunnar Brinkmalm, et al.. (2025). Novel insights into the molecular nature of neurofilament light polypeptide species in cerebrospinal fluid. Brain Communications. 7(2). fcaf129–fcaf129. 1 indexed citations

Montoliu‐Gaya, Laia, Gemma Salvadó, Joseph Therriault, et al.. (2025). Plasma tau biomarkers for biological staging of Alzheimer’s disease. Nature Aging. 5(11). 2297–2308.

Berg, E. van den, Iris Kersten, Gunnar Brinkmalm, et al.. (2024). Profiling amyloid‐β peptides as biomarkers for cerebral amyloid angiopathy. Journal of Neurochemistry. 168(7). 1254–1264. 3 indexed citations

Andréasson, Ulf, Johan Gobom, Vincent Delatour, et al.. (2023). Assessing the commutability of candidate reference materials for the harmonization of neurofilament light measurements in blood. Clinical Chemistry and Laboratory Medicine (CCLM). 61(7). 1245–1254. 21 indexed citations

Sauer, Mathias, Gunnar Brinkmalm, Radu Constantinescu, et al.. (2023). SCRN1: A cerebrospinal fluid biomarker correlating with tau in Alzheimer's disease. Alzheimer s & Dementia. 19(10). 4609–4618. 7 indexed citations

Gomes, Bárbara Fernandes, Carly M. Farris, Yihua Ma, et al.. (2023). α-Synuclein seed amplification assay as a diagnostic tool for parkinsonian disorders. Parkinsonism & Related Disorders. 117. 105807–105807. 48 indexed citations

Berg, E. van den, Johanna Nilsson, Iris Kersten, et al.. (2023). Cerebrospinal Fluid Panel of Synaptic Proteins in Cerebral Amyloid Angiopathy and Alzheimer’s Disease. Journal of Alzheimer s Disease. 92(2). 467–475. 4 indexed citations

Blennow, Kaj, et al.. (2023). Next-generation proteomics technologies in Alzheimer’s disease: from clinical research to routine diagnostics. Expert Review of Proteomics. 20(7-9). 143–150. 5 indexed citations

Giangrande, Chiara, Vincent Delatour, Ulf Andréasson, et al.. (2023). Harmonization and standardization of biofluid‐based biomarker measurements for AT(N) classification in Alzheimer's disease. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(3). e12465–e12465. 19 indexed citations

10.

Nilsson, Johanna, Nicholas J. Ashton, Andréa Lessa Benedet, et al.. (2022). Quantification of SNAP-25 with mass spectrometry and Simoa: a method comparison in Alzheimer’s disease. Alzheimer s Research & Therapy. 14(1). 78–78. 22 indexed citations

11.

Heslegrave, Amanda, Nicholas J. Ashton, Thomas K. Karikari, et al.. (2021). Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease. Journal of Internal Medicine. 290(3). 583–601. 60 indexed citations

12.

Camporesi, Elena, Tammaryn Lashley, Johan Gobom, et al.. (2021). Neuroligin-1 in brain and CSF of neurodegenerative disorders: investigation for synaptic biomarkers. Acta Neuropathologica Communications. 9(1). 19–19. 17 indexed citations

13.

Dahlén, Rahil, Oskar Hansson, Ross W. Paterson, et al.. (2019). Use of the tau protein-to-peptide ratio in CSF to improve diagnostic classification of Alzheimer’s disease. PubMed. 14. 74–82. 6 indexed citations

14.

Sogorb‐Esteve, Aitana, María‐Salud García‐Ayllón, Johan Gobom, et al.. (2018). Levels of ADAM10 are reduced in Alzheimer’s disease CSF. Journal of Neuroinflammation. 15(1). 213–213. 38 indexed citations

15.

Portelius, Erik, Niklas Mattsson, Josef Pannee, et al.. (2017). Ex vivo 18O-labeling mass spectrometry identifies a peripheral amyloid β clearance pathway. Molecular Neurodegeneration. 12(1). 18–18. 34 indexed citations

16.

Thorsell, Annika, Maria Bjerke, Johan Gobom, et al.. (2010). Neurogranin in cerebrospinal fluid as a marker of synaptic degeneration in Alzheimer's disease. Brain Research. 1362. 13–22. 158 indexed citations

17.

Bíliková, Katarína, Ekaterina Mirgorodskaya, Gabriela Bukovská, et al.. (2009). Towards functional proteomics of minority component of honeybee royal jelly: The effect of post‐translational modifications on the antimicrobial activity of apalbumin2. PROTEOMICS. 9(8). 2131–2138. 48 indexed citations

18.

Giavalisco, Patrick, Daniel N. Wilson, Thomas Kreitler, et al.. (2005). High heterogeneity within the ribosomal proteins of the Arabidopsis thaliana 80S ribosome. Plant Molecular Biology. 57(4). 577–591. 103 indexed citations

19.

Sauer, Sascha, Bodo Lange, Johan Gobom, et al.. (2005). Miniaturization in functional genomics and proteomics. Nature Reviews Genetics. 6(6). 465–476. 101 indexed citations

20.

Chamrad, Daniel C., et al.. (2003). Interpretation of mass spectrometry data for high-throughput proteomics. Analytical and Bioanalytical Chemistry. 376(7). 1014–1022. 48 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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