Fayaz Seifuddin

49 papers receiving 2.2k citations

Fayaz Seifuddin's Hit Papers

SMURF: Genomic mapping of fungal secondary metabolite clusters 2010 · 639 citations
6390+5+10Years since publication200400600

Peers

Fayaz Seifuddin
Comparison fields: 5 of 118
  • Biological Psychiatry 127
  • Behavioral Neuroscience 99
  • Pharmacology 408
  • Cancer Research 238
  • Molecular Biology 906
Replace Wanhong Liu with:
Wanhong Liu China
Ming‐Lei Guo United States
Ainhoa Plaza‐Zabala Spain
Takayuki Manabe Japan
Lorise C. Gahring United States
Yu Fan China
Daniel Oliveira Martins Brazil
Chiara Vantaggiato Italy
Wen Hong Shen United States
Ralf Gilsbach Germany
Fayaz Seifuddin relative to Wanhong Liu China Wanhong Liu's profile →
Citations per field
00.5×2×3×3.6×
Wanhong Liu · 1×
Citations per year

Countries citing papers authored by Fayaz Seifuddin

Since Specialization
Citations

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

Fields of papers citing papers by Fayaz Seifuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fayaz Seifuddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fayaz Seifuddin Line = papers co-authored together Fayaz Seifuddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SMURF: Genomic mapping of fungal secondary metabolite clusters
Hit paper breakdown →
2010639
2 2011131
3 2021110
4 2021108
5 2021101
6 201488
7 201977
8 202076
9 202171
10 201370
11 201265
12 202161
13 201259
14 201254
15 202152
16 201847
17 202246
18 201145
19 202038
20 201736

About Fayaz Seifuddin

Fayaz Seifuddin is a scholar working on Cancer Research, Genetics, Molecular Biology, Psychiatry and Mental health and Hematology, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genetics and Neurodevelopmental Disorders (8 papers), Bipolar Disorder and Treatment (7 papers), RNA modifications and cancer (6 papers), Genetic Associations and Epidemiology (6 papers), Cancer Genomics and Diagnostics (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Biological Psychiatry (127 citations), Behavioral Neuroscience (99 citations), Pharmacology (408 citations), Cancer Research (238 citations) and Molecular Biology (906 citations). Fayaz Seifuddin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Geoff Turner, Daniel H. Haft, William C. Nierman, Nora Khaldi, Kenneth H. Wolfe, Natalie D. Fedorova, Mehdi Pirooznia, Peter P. Zandi, James B. Potash and Jennifer Judy. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Molecular Psychiatry, Epigenetics, Frontiers in Genetics and The Journal of Heart and Lung Transplantation.

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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