Deepa Manwani

5.4k citations
154 papers · 3.7k · 1 hit paper · h-index 30

Impact in

  • Genetics top 0.2%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 0.5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 117
    • Iron Metabolism and Disorders 48
    • Blood groups and transfusion 18

Deepa Manwani

147 papers receiving 3.7k citations

Deepa Manwani's Hit Papers

Neutrophil ageing is regulated by the microbiome 2015 · 619 citations
6190+3+7Years since publication200400600

Peers

Deepa Manwani
Comparison fields: 5 of 113
  • Genetics 2.0k
  • Hematology 1.3k
  • Immunology 585
  • Physiology 688
  • Pediatrics, Perinatology and Child Health 351
Replace Adam Lane with:
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Deepa Manwani relative to Adam Lane United States Adam Lane's profile →
Citations per field
00.5×6.9×
Adam Lane · 1×
Citations per year

Countries citing papers authored by Deepa Manwani

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Manwani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa Manwani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepa Manwani Line = papers co-authored together Deepa Manwani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neutrophil ageing is regulated by the microbiome
Hit paper breakdown →
2015619
2 2016303
3 2013296
4 2014272
5 2008129
6 2013106
7 2007103
8 202076
9 201264
10 201360
11 201659
12 201358
13 201056
14 201353
15 202152
16 201448
17 199941
18 201741
19 202140
20 201839

About Deepa Manwani

Deepa Manwani is a scholar working on Genetics, Hematology, Physiology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 154 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (117 papers), Iron Metabolism and Disorders (48 papers), Erythrocyte Function and Pathophysiology (22 papers), Blood groups and transfusion (18 papers), Prenatal Screening and Diagnostics (10 papers), Blood properties and coagulation (8 papers), Epigenetics and DNA Methylation (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). The work is most often cited by research in Genetics (2.0k citations), Hematology (1.3k citations), Immunology (585 citations), Physiology (688 citations) and Pediatrics, Perinatology and Child Health (351 citations). Deepa Manwani has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Paul S. Frenette, Dachuan Zhang, Chunliang Xu, James J. Bieker, Grace Chen, Yuya Kunisaki, Jeremiah J. Faith, Robert D. Burk, Arthur Mortha and Miriam Mérad. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Blood Advances, The Journal of Pediatrics and Journal of Pain.

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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