Yasha Hasija

1.3k citations
84 papers · 535 indexed · h-index 14
Topics
Computational Drug Discovery Methods (16 papers)melanin and skin pigmentation (6 papers)Machine Learning in Bioinformatics (5 papers)
Partner nations
IndiaItalyUnited States

In The Last Decade

Yasha Hasija

73 papers receiving 520 citations

Peers

Yasha Hasija
Comparison fields: 5 of 116
  • Molecular Biology 220
  • Genetics 75
  • Oncology 58
  • Artificial Intelligence 54
  • Psychiatry and Mental health 47
Replace Naisha Shah with:
Naisha Shah United States
Enrico Giampieri Italy
Jiarui Li China
Ryan Kellogg United States
Elmer A. Fernández Argentina
Shiva Kumar India
Di Ou China
Joseph Mellor United States
Cuiping Pan China
Lakshmi Chandrasekaran United States
Yasha Hasija relative to Naisha Shah United States Naisha Shah's profile →
Citations per field
00.5×
Naisha Shah · 1×
Citations per year

Countries citing papers authored by Yasha Hasija

Since Specialization
Citations

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

Fields of papers citing papers by Yasha Hasija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasha Hasija

This figure shows the co-authorship network connecting the top 25 collaborators of Yasha Hasija. A scholar is included among the top collaborators of Yasha Hasija 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 Yasha Hasija. Yasha Hasija 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 2
2 2
3 1
4 0
5 1
6 1
7 2
8 9
9 7
10 3
11 1
12 1
13 0
14 2
15 9
16 22
17 7
18 6
19 1
20 1

About Yasha Hasija

Yasha Hasija is a scholar working on Computational Theory and Mathematics, Health Information Management and Health Informatics, having authored 84 papers that have together received 535 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), melanin and skin pigmentation (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Health Informatics (9 citations), Health Information Management (28 citations) and Molecular Biology (220 citations). Yasha Hasija has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Ritushree Kukreti, Samiksha Kukal, Luciano Saso, Nikhil Garg, Himanshu Kumar, Vinod Scaria, Srinivasan Ramachandran, Pooja Singh, Saroj Yadav and Gaurav Mittal. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

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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