Sangeeta Saha

674 citations
33 papers · 516 indexed · h-index 13
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (28 papers)Evolution and Genetic Dynamics (21 papers)COVID-19 epidemiological studies (11 papers)
Partner nations
IndiaCanadaSpain

In The Last Decade

Sangeeta Saha

29 papers receiving 499 citations

Peers

Sangeeta Saha
Comparison fields: 5 of 69
  • Public Health, Environmental and Occupational Health 405
  • Modeling and Simulation 285
  • Genetics 241
  • Sociology and Political Science 76
  • Infectious Diseases 60
Replace Mohd Hafiz Mohd with:
Mohd Hafiz Mohd Malaysia
Sunita Gakkhar India
Chunhua Shan China
Prabir Panja India
Juhua Liang China
Yixiang Wu United States
Haokun Qi China
Miled El Hajji Saudi Arabia
P.K. Santra India
Sudeshna Mondal India
Sangeeta Saha relative to Mohd Hafiz Mohd Malaysia Mohd Hafiz Mohd's profile →
Citations per field
00.5×1.5×
Mohd Hafiz Mohd · 1×
Citations per year

Countries citing papers authored by Sangeeta Saha

Since Specialization
Citations

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

Fields of papers citing papers by Sangeeta Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangeeta Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Sangeeta Saha. A scholar is included among the top collaborators of Sangeeta Saha 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 Sangeeta Saha. Sangeeta Saha 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 0
2 0
3 5
4 8
5 3
6 0
7 2
8 38
9 3
10 5
11 5
12 14
13 32
14 14
15 56
16 35
17 25
18 33
19 50
20
Effect of storage and Preservatives on Antioxidant Status of some Refrigerated Fruit Juices
7

About Sangeeta Saha

Sangeeta Saha is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 33 papers that have together received 516 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolution and Genetic Dynamics (21 papers) and COVID-19 epidemiological studies (11 papers). The work is most often cited by research in Modeling and Simulation (285 citations), Public Health, Environmental and Occupational Health (405 citations) and Genetics (241 citations). Sangeeta Saha has collaborated with scholars based in India, Canada and Spain. Frequent co-authors include G. P. Samanta, Juan J. Nieto, Alakes Maiti, Pradip Debnath and Roderick Melnik. Their work appears in journals such as SHILAP Revista de lepidopterología, Ecological Modelling and Physica A Statistical Mechanics and its Applications.

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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