Damian Fermin

3.0k citations
28 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Bioinformatics and Genomic Networks (5 papers)Lymphoma Diagnosis and Treatment (5 papers)Glycosylation and Glycoproteins Research (3 papers)

In The Last Decade

Damian Fermin

26 papers receiving 1.2k citations

Hit Papers

SAINT: probabilistic scoring of affinity purification–mas...20102026201520202010100200300400500

Peers

Damian Fermin
Comparison fields: 5 of 96
  • Molecular Biology 889
  • Cell Biology 207
  • Cancer Research 155
  • Spectroscopy 153
  • Oncology 142
Replace Christine Gretzmeier with:
Christine Gretzmeier Germany
Masaharu Hiratsuka Japan
Ludmila Kaplun United States
Jean‐Philippe Gagné Canada
Maria Stella Ritorto United Kingdom
Thomas P. Garner United Kingdom
Najeeb Halabi Qatar
J. Patrick Murphy Canada
Yi‐Feng Hou China
Chad J. Miller United States
Damian Fermin relative to Christine Gretzmeier Germany Christine Gretzmeier's profile →
Citations per field
00.5×1.6×
Christine Gretzmeier · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 3
3 0
4 2
5 1
6 17
7 1
8 16
9 77
10 9
11 15
12 25
13 59
14 29
15 4
16 208
17 105
18 0
19
Novel gene and gene model detection using a whole genome open reading frame analysis in proteomics.
5
20 1

About Damian Fermin

Damian Fermin is a scholar working on Nephrology, Aging and Cancer Research, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (125 citations), Aging (27 citations) and Molecular Biology (889 citations). Damian Fermin has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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