Jyoti Nangalia

22.6k citations
48 papers · 1.7k indexed · 1 hit paper · h-index 24
Topics
Myeloproliferative Neoplasms: Diagnosis and Treatment (32 papers)Acute Myeloid Leukemia Research (21 papers)Kruppel-like factors research (15 papers)

In The Last Decade

Jyoti Nangalia

46 papers receiving 1.7k citations

Hit Papers

Life histories of myeloproliferative neoplasms inferred f...202220262023202420224080120

Peers

Jyoti Nangalia
Comparison fields: 5 of 83
  • Genetics 1.1k
  • Hematology 993
  • Molecular Biology 830
  • Rheumatology 399
  • Cancer Research 217
Replace Éric Lippert with:
Éric Lippert France
Jean-Luc Laı̈ France
Lydia Roy France
Olivier Kosmider France
Nathalie Grardel France
Giovanna Rege‐Cambrin Italy
Sandra Moore United States
Eva Hellström‐Lindberg Sweden
Kimberly Hayes United States
J V Melo United Kingdom
Jyoti Nangalia relative to Éric Lippert France Éric Lippert's profile →
Citations per field
00.5×3.5×
Éric Lippert · 1×
Citations per year

Countries citing papers authored by Jyoti Nangalia

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Nangalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Nangalia

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Nangalia. A scholar is included among the top collaborators of Jyoti Nangalia 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 Jyoti Nangalia. Jyoti Nangalia 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 0
3 36
4 10
5 13
6 27
7
Life histories of myeloproliferative neoplasms inferred from phylogenies.breakdown →
148
8 84
9 17
10 10
11 94
12 70
13 49
14 0
15 63
16 20
17 24
18 55
19 46
20 96

About Jyoti Nangalia

Jyoti Nangalia is a scholar working on Genetics, Hematology and Cancer Research, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (32 papers), Acute Myeloid Leukemia Research (21 papers) and Kruppel-like factors research (15 papers). The work is most often cited by research in Genetics (1.1k citations), Hematology (993 citations) and Rheumatology (399 citations). Jyoti Nangalia has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Anthony R. Green, Peter J. Campbell, Anna L. Godfrey, Jacob Grinfeld, Claire Harrison, Emily Mitchell, Nicholas Williams, Adam J. Mead, Alessandro M. Vannucchi and Luiza Moore. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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