Udit Singhal

3.9k citations
35 papers · 2.6k · 1 hit paper · h-index 10

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

31 papers receiving 2.5k citations

Udit Singhal's Hit Papers

The landscape of long noncoding RNAs in the human transcriptome 2015 · 2.1k citations
2.1k0+3+7Years since publication50010001.5k2.0k

Peers

Udit Singhal
Comparison fields: 5 of 96
  • Cancer Research 2.0k
  • Molecular Biology 1.8k
  • Endocrinology 76
  • Pulmonary and Respiratory Medicine 228
  • Oncology 125
Replace Anirban Sahu with:
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Udit Singhal relative to Anirban Sahu United States Anirban Sahu's profile →
Citations per field
00.5×1.5×
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 35 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 →
20152076
2 2015200
3 202040
4 201529
5 201828
6 201927
7 201927
8 201926
9 202124
10 201622
11 20219
12 20229
13 20096
14 19954
15 20254
16 20223
17 20203
18 20203
19 20203
20 20153

About Udit Singhal

Udit Singhal is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Surgery and Oncology, having authored 35 papers that have together received 2.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (13 papers), Prostate Cancer Treatment and Research (12 papers), Urological Disorders and Treatments (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Urologic and reproductive health conditions (2 papers), Cancer Genomics and Diagnostics (2 papers), Pediatric Urology and Nephrology Studies (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (1.8k citations), Endocrinology (76 citations), Pulmonary and Respiratory Medicine (228 citations) and Oncology (125 citations). Udit Singhal has collaborated with scholars based in United States, Austria and South Korea. Frequent co-authors include Arul M. Chinnaiyan, Anirban Sahu, Felix Y. Feng, Yashar S. Niknafs, Shuang G. Zhao, Xuhong Cao, Dan R. Robinson, Hariharan Iyer, Anton Poliakov and Matthew K. Iyer. Their work appears in journals such as The Journal of Urology, Urologic Oncology Seminars and Original Investigations, Journal of Clinical Oncology, Urology and Nature Genetics.

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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