Babita Singh

2.2k citations
27 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
RNA Research and Splicing (6 papers)RNA modifications and cancer (5 papers)RNA and protein synthesis mechanisms (5 papers)
Partner nations
IndiaSpainUnited States

In The Last Decade

Babita Singh

26 papers receiving 1.1k citations

Hit Papers

SUPPA2: fast, accurate, and uncertainty-aware differentia...20182026202020232018100200300

Peers

Babita Singh
Comparison fields: 5 of 115
  • Molecular Biology 873
  • Cancer Research 263
  • Plant Science 145
  • Genetics 61
  • Immunology 52
Replace Nancy Francoeur with:
Nancy Francoeur United States
Vincent R. Richard Canada
Hossein Fallahi Iran
Wenyuan Li China
Н. В. Попова Russia
Metka Novak Slovenia
А. Ф. Садритдинова Russia
Andrew R. Harper United Kingdom
Babita Singh relative to Nancy Francoeur United States Nancy Francoeur's profile →
Citations per field
00.5×1.6×
Nancy Francoeur · 1×
Citations per year

Countries citing papers authored by Babita Singh

Since Specialization
Citations

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

Fields of papers citing papers by Babita Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Babita Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Babita Singh. A scholar is included among the top collaborators of Babita Singh 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 Babita Singh. Babita Singh 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 5
2 5
3 6
4 31
5 22
6 4
7 55
8 9
9 21
10 16
11 9
12 12
13 15
14
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditionsbreakdown →
355
15 175
16 63
17 193
18 4
19 5
20 2

About Babita Singh

Babita Singh is a scholar working on Molecular Biology, Cancer Research and Physiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (873 citations) and Health Informatics (10 citations). Babita Singh has collaborated with scholars based in India, Spain and United States. Frequent co-authors include Eduardo Eyras, Juan L. Trincado, David J. Elliott, Juan Carlos Entizne, Miha Škalič, Gerald Hysenaj, Amadís Pagès, Belén Miñana, Miguel Ángel Pujana and Juan Valcárcel. Their work appears in journals such as The Plant Journal, Free Radical Biology and Medicine and Genome Research.

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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