Neha Pant

820 citations
14 papers · 645 indexed · h-index 9
Topics
Viral gastroenteritis research and epidemiology (6 papers)Animal health and immunology (4 papers)Hydrological Forecasting Using AI (3 papers)
Partner nations
SwedenIndiaNetherlands

In The Last Decade

Neha Pant

11 papers receiving 609 citations

Peers

Neha Pant
Comparison fields: 5 of 82
  • Water Science and Technology 220
  • Infectious Diseases 176
  • Molecular Biology 121
  • Radiology, Nuclear Medicine and Imaging 110
  • Immunology 69
Replace Christian Penny with:
Christian Penny Luxembourg
Sílvia Monteiro Portugal
Eunice A. Varughese United States
Michèle Vialette France
Ricardo Santos Portugal
Scott Sutton United States
Jonathan Caplin United Kingdom
G. S. Grohmann Australia
Thérèse Sigstam Switzerland
Ezra Linley United Kingdom
Neha Pant relative to Christian Penny Luxembourg Christian Penny's profile →
Citations per field
00.5×4.9×
Christian Penny · 1×
Citations per year

Countries citing papers authored by Neha Pant

Since Specialization
Citations

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

Fields of papers citing papers by Neha Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Pant

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Pant. A scholar is included among the top collaborators of Neha Pant 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 Neha Pant. Neha Pant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 8
3 0
4 0
5 0
6 19
7 36
8 42
9 2
10 64
11
Successful treatment of rotavirus-induced diarrhoea in suckling mice with egg yolk immunoglobulin.
20
12 86
13 111
14 256

About Neha Pant

Neha Pant is a scholar working on Small Animals, Infectious Diseases and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 645 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Animal health and immunology (4 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Water Science and Technology (220 citations), Infectious Diseases (176 citations) and Industrial and Manufacturing Engineering (68 citations). Neha Pant has collaborated with scholars based in Sweden, India and Netherlands. Frequent co-authors include R. D. Tyagi, S. K. Srivastava, Lennart Hammarström, Harold Marcotte, Pim Hermans, Lennart Svensson, Kari Johansen, Shafiqul Alam Sarker, Sandra Bezemer and Leon Frenken. Their work appears in journals such as Applied and Environmental Microbiology, Water Research and Scientific Reports.

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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