Raman Sethi

1.8k citations
24 papers · 881 · 3 hit papers · h-index 13

Impact in

Papers in

Raman Sethi

23 papers receiving 859 citations

Hit Papers

Unsupervised spatially embedded deep representation of spatial transcriptomics 2024 · 119 citations
1190+1+2Years since publication50100150200

Peers

Raman Sethi
Comparison fields: 5 of 95
  • Infectious Diseases 197
  • Biophysics 60
  • Cardiology and Cardiovascular Medicine 184
  • Molecular Biology 513
  • Cancer Research 102
Replace Frank S. Heldt with:
Frank S. Heldt Germany
Ximeng Han China
Jonasel Roque United States
Yanling Wen China
Yabo Ouyang China
Yunwei Lou China
S. Orbach‐Arbouys France
Hao Ren China
Julia di Iulio United States
Julie G. Burel Australia
Raman Sethi relative to Frank S. Heldt Germany Frank S. Heldt's profile →
Citations per field
00.5×
Frank S. Heldt · 1×
Citations per year

Countries citing papers authored by Raman Sethi

Since Specialization
Citations

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

Fields of papers citing papers by Raman Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raman Sethi, 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 Raman Sethi Line = papers co-authored together Raman Sethi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
Hit paper breakdown →
2023230
2
Unsupervised spatially embedded deep representation of spatial transcriptomics
Hit paper breakdown →
2024119
3 202191
4 201490
5
Deciphering spatial domains from spatial multi-omics with SpatialGlue
Hit paper breakdown →
202458
6 201257
7 201542
8 201741
9 201621
10 202017
11 201416
12 201815
13 201914
14 201412
15
Antimicrobial And Wound Healing Properties Of Stem Bark Of Toddalia Asiatica Linn.
200511
16 202111
17 20248
18 20197
19 20217
20 20206

About Raman Sethi

Raman Sethi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology and Health, having authored 24 papers that have together received 881 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Viral Infections and Immunology Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (3 papers), Bioinformatics and Genomic Networks (3 papers), Congenital gastrointestinal and neural anomalies (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (197 citations), Biophysics (60 citations), Cardiology and Cardiovascular Medicine (184 citations), Molecular Biology (513 citations) and Cancer Research (102 citations). Raman Sethi has collaborated with scholars based in Singapore, India and Switzerland. Frequent co-authors include Kok Siong Ang, Mengwei Li, Jinmiao Chen, Yahui Long, Ao Chen, Hang Xu, Longqi Liu, Huazhu Fu, Jingjing Ling and Sunil Bahl. Their work appears in journals such as Nature Communications, The Journal of Infectious Diseases, PLoS ONE, iScience and Nature Methods.

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