Latika Singh

902 total citations
31 papers, 616 citations indexed

About

Latika Singh is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Latika Singh has authored 31 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Organic Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Latika Singh's work include Carbohydrate Chemistry and Synthesis (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Ion channel regulation and function (5 papers). Latika Singh is often cited by papers focused on Carbohydrate Chemistry and Synthesis (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Ion channel regulation and function (5 papers). Latika Singh collaborates with scholars based in United States, India and Japan. Latika Singh's co-authors include Qingshen Gao, Ajay Kumar, David E. Wazer, Vimla Band, Seetha Srinivasan, Ram N. Ram, Heike Wulff, Vikrant Singh, Hamid Band and Joachim Seifert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Latika Singh

31 papers receiving 604 citations

Peers

Latika Singh
Comparison fields: 5 of 89
  • Molecular Biology 315
  • Organic Chemistry 118
  • Epidemiology 116
  • Oncology 114
  • Immunology 106
Replace Miroslaw Lech with:
Miroslaw Lech United States
Marie Paule Defresne Belgium
Yoshitaka Murata Japan
Huafei Zou United States
Takao Fujisawa Japan
Mónica Sancho Spain
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Xiaoyong Dai China
Jingyuan Ma China
Min Ding China
Miroslaw Lech United States View profile →
Citations per field, relative to Latika Singh
Latika Singh · 1×
Citations per year, relative to Latika Singh
Latika Singh · 1×

Countries citing papers authored by Latika Singh

Since Specialization
Citations

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

Fields of papers citing papers by Latika Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latika Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Latika Singh. A scholar is included among the top collaborators of Latika 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 Latika Singh. Latika 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
# Work Indexed citations
1 2
2 2
3 3
4 2
5 3
6 9
7 15
8 51
9 9
10 12
11 52
12 16
13 15
14 15
15 17
16 80
17 7
18 49
19 18
20 13

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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