Udit Singhal

4.0k citations
41 papers · 3.0k · 1 hit paper · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Genomics and Phylogenetic Studies

Papers in

Udit Singhal

36 papers receiving 2.9k citations

Udit Singhal's Hit Papers

The landscape of long noncoding RNAs in the human transcriptome 2015 · 2.2k citations
2.2k0+3+7Years since publication50010001.5k2.0k

Peers

Udit Singhal
Comparison fields: 5 of 99
  • Cancer Research 2.2k
  • Molecular Biology 2.0k
  • Endocrinology 85
  • Pulmonary and Respiratory Medicine 295
  • Oncology 147
Replace Anirban Sahu with:
Anirban Sahu United States
Johnny T. Kung United States
Dan E. Webster United States
Wenlei Peng China
Lisa M. Haley United States
Yiquan Xue China
Sung‐Yul Lee South Korea
Angela M. Liu Singapore
Yanping Yu United States
Mohammed Kanchwala United States
Udit Singhal relative to Anirban Sahu United States Anirban Sahu's profile →
Citations per field
00.5×1.5×1.8×
Anirban Sahu · 1×
Citations per year

Countries citing papers authored by Udit Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Udit Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The landscape of long noncoding RNAs in the human transcriptome
Hit paper breakdown →
20152201
2 2015212
3 2016184
4 202044
5 201534
6 201832
7 201928
8 201928
9 201928
10 202126
11 201622
12 202120
13 202414
14 202112
15 202210
16 19958
17 20096
18 20255
19 20204
20 20204

About Udit Singhal

Udit Singhal is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Urology, Oncology and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (17 papers), Prostate Cancer Treatment and Research (12 papers), Bladder and Urothelial Cancer Treatments (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Urological Disorders and Treatments (3 papers), RNA Research and Splicing (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (2.2k citations), Molecular Biology (2.0k citations), Endocrinology (85 citations), Pulmonary and Respiratory Medicine (295 citations) and Oncology (147 citations). Udit Singhal has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Arul M. Chinnaiyan, Anirban Sahu, Felix Yi-Chung Feng, Yashar S. Niknafs, Joseph R. Evans, Anton Poliakov, Yasuyuki Hosono, Yi-Mi Wu, David G. Beer and Matthew K. Iyer. Their work appears in journals such as The Journal of Urology, Urologic Oncology Seminars and Original Investigations, Urology, JCO Precision Oncology 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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