Neeta Sehgal

1.4k total citations
72 papers, 1.0k citations indexed

About

Neeta Sehgal is a scholar working on Aquatic Science, Physiology and Electrical and Electronic Engineering. According to data from OpenAlex, Neeta Sehgal has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aquatic Science, 19 papers in Physiology and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Neeta Sehgal's work include Reproductive biology and impacts on aquatic species (19 papers), Aquaculture Nutrition and Growth (18 papers) and VLSI and FPGA Design Techniques (10 papers). Neeta Sehgal is often cited by papers focused on Reproductive biology and impacts on aquatic species (19 papers), Aquaculture Nutrition and Growth (18 papers) and VLSI and FPGA Design Techniques (10 papers). Neeta Sehgal collaborates with scholars based in India, United States and United Kingdom. Neeta Sehgal's co-authors include Sandeep Sharma, Ashok Kumar, M. M. Misro, Om Prakash, Shashi V. Goswami, Sankar P. Chaki, D. K. Gautam, Vipin Kumar Verma, Bansi D. Malhotra and Rahul Singhal and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Neeta Sehgal

70 papers receiving 980 citations

Peers

Neeta Sehgal
Comparison fields: 5 of 111
  • Electrical and Electronic Engineering 309
  • Molecular Biology 282
  • Hardware and Architecture 133
  • Reproductive Medicine 121
  • Aquatic Science 116
Replace Rupam Sharma with:
Rupam Sharma India
Ken‐ichi Kawasaki Japan
Yiwen Zhang China
Zhimin Zhang China
Eliška Gálová Slovakia
Abdelkarim Abousalham France
Mingtao Huang China
Xiaohui Jiang China
Nitin Pandey India
Rupam Sharma India View profile →
Citations per field, relative to Neeta Sehgal
Neeta Sehgal · 1×
Citations per year, relative to Neeta Sehgal
Neeta Sehgal · 1×

Countries citing papers authored by Neeta Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Neeta Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeta Sehgal

This figure shows the co-authorship network connecting the top 25 collaborators of Neeta Sehgal. A scholar is included among the top collaborators of Neeta Sehgal 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 Neeta Sehgal. Neeta Sehgal 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 16
2 2
3 6
4 12
5 32
6 3
7
Isolation, purification and characterization of the egg-yolk proteins from the oocytes of the indian freshwater murrel, Channa punctatus (Bloch).
1
8 25
9 5
10 43
11 1
12 11
13 14
14 22
15 21
16 17
17 6
18
Albumin test strip for quick detection of albuminuria in human
5
19 2
20 1

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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