Damian Fermin

3.0k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Damian Fermin is a scholar working on Molecular Biology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Damian Fermin has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Nephrology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Damian Fermin's work include Bioinformatics and Genomic Networks (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Damian Fermin is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Damian Fermin collaborates with scholars based in United States, United Kingdom and Singapore. Damian Fermin's co-authors include Alexey I. Nesvizhskii, Hyungwon Choi, Zhaohui Qin, Anne‐Claude Gingras, Zhen-Yuan Lin, Ashton Breitkreutz, Brett Larsen, Dattatreya Mellacheruvu, Mike Tyers and Bjoern Schwer 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

Damian Fermin

26 papers receiving 1.2k citations

Hit Papers

SAINT: probabilistic scoring of affinity purification–mas... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damian Fermin United States 13 889 207 155 153 142 28 1.3k
Yajing Chu China 15 819 0.9× 122 0.6× 324 2.1× 67 0.4× 127 0.9× 56 1.2k
Christine Gretzmeier Germany 18 787 0.9× 367 1.8× 98 0.6× 131 0.9× 88 0.6× 27 1.4k
Maria Stella Ritorto United Kingdom 13 1.1k 1.2× 146 0.7× 126 0.8× 101 0.7× 246 1.7× 18 1.5k
Masaharu Hiratsuka Japan 16 831 0.9× 78 0.4× 100 0.6× 36 0.2× 172 1.2× 30 1.3k
J. Patrick Murphy Canada 18 841 0.9× 91 0.4× 324 2.1× 81 0.5× 194 1.4× 40 1.2k
Rasmus Ree Norway 10 1.0k 1.1× 78 0.4× 139 0.9× 60 0.4× 567 4.0× 14 1.3k
Thomas P. Garner United Kingdom 19 958 1.1× 170 0.8× 88 0.6× 33 0.2× 161 1.1× 29 1.3k
Chad J. Miller United States 14 1.0k 1.2× 239 1.2× 118 0.8× 58 0.4× 243 1.7× 18 1.5k
Najeeb Halabi Qatar 12 732 0.8× 49 0.2× 185 1.2× 29 0.2× 118 0.8× 25 1.1k
Majbrit Hjerrild Denmark 8 1.4k 1.5× 248 1.2× 104 0.7× 195 1.3× 138 1.0× 8 1.6k

Countries citing papers authored by Damian Fermin

Since Specialization
Citations

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

Fields of papers citing papers by Damian Fermin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Fermin

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

All Works

20 of 20 papers shown
1.
Cusick, Matthew F., Viji Nair, Damian Fermin, et al.. (2025). The growth hormone/IGF-1 axis is a risk factor for long-term kidney allograft failure. JCI Insight. 10(11). 1 indexed citations
2.
Alakwaa, Fadhl, Vivek Das, Årindam Majumdar, et al.. (2025). Leveraging complementary multi-omics data integration methods for mechanistic insights in kidney diseases. JCI Insight. 10(5). 3 indexed citations
3.
Liu, Wenbin, Damian Fermin, Anlong Xu, Jeffrey B. Kopp, & Qihe Xu. (2024). Single-cell RNA sequencing data locate ALDH1A2-mediated retinoic acid synthetic pathway to glomerular parietal epithelial cells. Experimental Biology and Medicine. 249. 10167–10167.
4.
Omachi, Kohei, Damian Fermin, Felix Eichinger, et al.. (2024). Association of Genetically Predicted Skipping of COL4A4 Exon 27 with Hematuria and Albuminuria. Journal of the American Society of Nephrology. 36(1). 48–59. 2 indexed citations
5.
Larkina, Maria, Margaret Helmuth, Damian Fermin, et al.. (2023). The Significance of Hematuria in Podocytopathies. Clinical Journal of the American Society of Nephrology. 19(1). 56–66. 1 indexed citations
6.
Stefansson, Vidar T.N., Viji Nair, Toralf Melsom, et al.. (2022). Molecular programs associated with glomerular hyperfiltration in early diabetic kidney disease. Kidney International. 102(6). 1345–1358. 17 indexed citations
7.
Li, Ginny Xiaohe, et al.. (2020). A protein‐centric approach for exome variant aggregation enables sensitive association analysis with clinical outcomes. Human Mutation. 41(5). 934–945. 1 indexed citations
8.
Nihalani, Deepak, Ashish K. Solanki, Ehtesham Arif, et al.. (2019). Disruption of the exocyst induces podocyte loss and dysfunction. Journal of Biological Chemistry. 294(26). 10104–10119. 16 indexed citations
9.
Koh, Hiromi W.L., Damian Fermin, Christine Vogel, et al.. (2019). iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery. npj Systems Biology and Applications. 5(1). 22–22. 77 indexed citations
10.
Hinkson, Izumi V., et al.. (2015). Research Resource: Androgen Receptor Activity Is Regulated Through the Mobilization of Cell Surface Receptor Networks. Molecular Endocrinology. 29(8). 1195–1218. 9 indexed citations
11.
El‐Mallawany, Nader Kim, Nancy S. Day, Janet Ayello, et al.. (2014). Differential proteomic analysis of endemic and sporadic Epstein–Barr virus-positive and negative Burkitt lymphoma. European Journal of Cancer. 51(1). 92–100. 15 indexed citations
12.
Rolland, Delphine, Venkatesha Basrur, Kevin Conlon, et al.. (2014). Global Phosphoproteomic Profiling Reveals Distinct Signatures in B-Cell Non-Hodgkin Lymphomas. American Journal Of Pathology. 184(5). 1331–1342. 25 indexed citations
13.
Balbin, O. Alejandro, John R. Prensner, Anirban Sahu, et al.. (2013). Reconstructing targetable pathways in lung cancer by integrating diverse omics data. Nature Communications. 4(1). 2617–2617. 59 indexed citations
14.
McDonnell, Scott R., Steven R. Hwang, Venkatesha Basrur, et al.. (2011). NPM-ALK signals through glycogen synthase kinase 3β to promote oncogenesis. Oncogene. 31(32). 3733–3740. 29 indexed citations
15.
Ning, Kang & Damian Fermin. (2010). SAW: A Method to Identify Splicing Events from RNA-Seq Data Based on Splicing Fingerprints. PLoS ONE. 5(8). e12047–e12047. 4 indexed citations
16.
Schwer, Bjoern, Mark Eckersdorff, Yu Li, et al.. (2009). Calorie restriction alters mitochondrial protein acetylation. Aging Cell. 8(5). 604–606. 208 indexed citations
17.
Khan, Amjad, Laila Poisson, Vadiraja B. Bhat, et al.. (2009). Quantitative Proteomic Profiling of Prostate Cancer Reveals a Role for miR-128 in Prostate Cancer. Molecular & Cellular Proteomics. 9(2). 298–312. 105 indexed citations
18.
Fermin, Damian, Venkatesha Basrur, Kevin Conlon, et al.. (2008). Quantitative Proteomic Identification of Novel Diagnostic Biomarkers and Therapeutic Targets for Classical Hodgkin Lymphoma.. Blood. 112(11). 1462–1462.
19.
Fermin, Damian, et al.. (2006). Novel gene and gene model detection using a whole genome open reading frame analysis in proteomics.. Deep Blue (University of Michigan). 5 indexed citations
20.
Fermin, Damian, et al.. (2006). Identifying Novel Blood Proteins and Protein Isoforms Using Tandem Mass Spectra.. Blood. 108(11). 1616–1616. 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.

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