Shipra Jain

708 citations
19 papers · 329 indexed · 1 hit paper · h-index 9
Topics
vaccines and immunoinformatics approaches (7 papers)DNA and Biological Computing (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
Partner nations
IndiaSwedenSwitzerland

In The Last Decade

Shipra Jain

17 papers receiving 320 citations

Hit Papers

ToxinPred2: an improved method for predicting toxicity of...2022202620232024202250100150

Peers

Shipra Jain
Comparison fields: 5 of 73
  • Molecular Biology 265
  • Radiology, Nuclear Medicine and Imaging 59
  • Immunology 41
  • Computational Theory and Mathematics 40
  • Epidemiology 33
Replace Khurshid Jalal with:
Khurshid Jalal Pakistan
Chakit Arora India
Kanwal Khan Pakistan
Muhammad Shehroz Pakistan
Rahul Kaushik India
Wei-Bao Kong China
Débora de Oliveira Lopes Brazil
Srinivasan Ramachandran India
Kazi Faizul Azim Bangladesh
Sameer Hassan India
Shipra Jain relative to Khurshid Jalal Pakistan Khurshid Jalal's profile →
Citations per field
00.5×1.5×2.1×
Khurshid Jalal · 1×
Citations per year

Countries citing papers authored by Shipra Jain

Since Specialization
Citations

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

Fields of papers citing papers by Shipra Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shipra Jain

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 0
3 18
4 9
5 14
6 2
7 2
8 19
9 0
10
ToxinPred2: an improved method for predicting toxicity of proteinsbreakdown →
168
11 47
12 6
13 1
14 8
15 8
16 13
17 3
18 4
19 6

About Shipra Jain

Shipra Jain is a scholar working on Energy Engineering and Power Technology, Toxicology and Computational Theory and Mathematics, having authored 19 papers that have together received 329 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), DNA and Biological Computing (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Microbiology (32 citations), Molecular Biology (265 citations) and Virology (13 citations). Shipra Jain has collaborated with scholars based in India, Sweden and Switzerland. Frequent co-authors include Gajendra P. S. Raghava, Neelam Sharma, Leimarembi Devi Naorem, Vishal Bhatnagar, Sumeet Patiyal, Anjali Dhall, Dilraj Kaur, Chakit Arora, Vinod Kumar and Akshara Pande. Their work appears in journals such as Frontiers in Immunology, Drug Discovery Today and Briefings in Bioinformatics.

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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