Jaswinder Khattra

10.6k citations
16 papers · 2.1k indexed · 2 hit papers · h-index 13
Topics
Genetics, Aging, and Longevity in Model Organisms (4 papers)CRISPR and Genetic Engineering (3 papers)Myxozoan Parasites in Aquatic Species (3 papers)
Partner nations
CanadaUnited StatesJapan

In The Last Decade

Jaswinder Khattra

15 papers receiving 2.1k citations

Hit Papers

PyClone: statistical inference of clonal ...200120262009201720142001100200300400500

Peers

Jaswinder Khattra
Comparison fields: 5 of 94
  • Cancer Research 979
  • Molecular Biology 867
  • Aging 485
  • Genetics 394
  • Ecology 388
Replace Elena Giulotto with:
Elena Giulotto Italy
Geoffrey Childs United States
Jens Lykke‐Andersen United States
Longtao Wu United States
George Pyrowolakis Germany
Russell Grocock United Kingdom
Serge Plaza France
Henry P. Adams United States
Vı́ctor Quesada Spain
Vivienne I. Rebel United States
Jaswinder Khattra relative to Elena Giulotto Italy Elena Giulotto's profile →
Citations per field
00.5×2.8×
Elena Giulotto · 1×
Citations per year

Countries citing papers authored by Jaswinder Khattra

Since Specialization
Citations

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

Fields of papers citing papers by Jaswinder Khattra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaswinder Khattra

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 3
3 100
4
PyClone: statistical inference of clonal population structure in cancerbreakdown →
575
5 85
6 118
7 6
8 140
9 73
10 23
11 215
12 168
13 21
14
Recent Advances in Our Knowledge of the Myxozoabreakdown →
523
15 29
16 42

About Jaswinder Khattra

Jaswinder Khattra is a scholar working on Aging, Parasitology and Cancer Research, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers) and Myxozoan Parasites in Aquatic Species (3 papers). The work is most often cited by research in Aging (485 citations), Cancer Research (979 citations) and Microbiology (151 citations). Jaswinder Khattra has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Damian Yap, Samuel Aparício, Gavin Ha, Emma Laks, Adrian Wan, Sohrab P. Shah, Andrew Roth, Alexandre Bouchard‐Côté, Justina Biele and Marco A. Marra. Their work appears in journals such as Nature Methods, Current Biology and Genome Research.

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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