Sabiha Shaik

584 total citations
20 papers, 460 citations indexed

About

Sabiha Shaik is a scholar working on Endocrinology, Molecular Medicine and Food Science. According to data from OpenAlex, Sabiha Shaik has authored 20 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, 10 papers in Molecular Medicine and 8 papers in Food Science. Recurrent topics in Sabiha Shaik's work include Antibiotic Resistance in Bacteria (10 papers), Escherichia coli research studies (9 papers) and Salmonella and Campylobacter epidemiology (6 papers). Sabiha Shaik is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Escherichia coli research studies (9 papers) and Salmonella and Campylobacter epidemiology (6 papers). Sabiha Shaik collaborates with scholars based in India, Germany and Malaysia. Sabiha Shaik's co-authors include Niyaz Ahmed, Ramani Baddam, Arif Hussain, Lothar H. Wieler, Amit Ranjan, Torsten Semmler, Narender Kumar, Sumeet K. Tiwari, Nishant Nandanwar and Savita Jadhav and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Sabiha Shaik

19 papers receiving 454 citations

Peers

Sabiha Shaik
Comparison fields: 5 of 54
  • Molecular Medicine 280
  • Endocrinology 230
  • Food Science 158
  • Molecular Biology 105
  • Pollution 80
Replace Nishant Nandanwar with:
Nishant Nandanwar India
Ramani Baddam India
Sumeet K. Tiwari India
Basma Mnif Tunisia
Khaled Mohamed United Kingdom
Jinwei Huang China
Muriel Mafura United Kingdom
Nadia Rodríguez-Medina Mexico
Heidi Segal South Africa
Yu-Ping Hong Taiwan
Nishant Nandanwar India View profile →
Citations per field, relative to Sabiha Shaik
Sabiha Shaik · 1×
Citations per year, relative to Sabiha Shaik
Sabiha Shaik · 1×

Countries citing papers authored by Sabiha Shaik

Since Specialization
Citations

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

Fields of papers citing papers by Sabiha Shaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabiha Shaik

This figure shows the co-authorship network connecting the top 25 collaborators of Sabiha Shaik. A scholar is included among the top collaborators of Sabiha Shaik 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 Sabiha Shaik. Sabiha Shaik 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 12
2 1
3 13
4 22
5 21
6 80
7 37
8 76
9 7
10 12
11 50
12 29
13 20
14 18
15 27
16 0
17 6
18 10
19 7
20 12

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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