Indira Sahdev

953 citations
25 papers · 547 indexed · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Blood disorders and treatments
    • Mesenchymal stem cell research

Papers in

Indira Sahdev

25 papers receiving 518 citations

Peers

Indira Sahdev
Comparison fields: 5 of 77
  • Hematology 190
  • Genetics 79
  • Immunology 145
  • Physiology 25
  • Physiology 117
Replace K. Hugh‐Jones with:
K. Hugh‐Jones United Kingdom
Jörn‐Sven Kühl Germany
Limin Xing China
Ashish O. Gupta United States
Jian‐Pei Fang China
Akira Ashida Japan
Jong‐Youl Jin South Korea
N Tsukada Japan
R. Flener Austria
J. M. Goldman United Kingdom
Indira Sahdev relative to K. Hugh‐Jones United Kingdom K. Hugh‐Jones's profile →
Citations per field
00.5×7.3×
K. Hugh‐Jones · 1×
Citations per year

Countries citing papers authored by Indira Sahdev

Since Specialization
Citations

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

Fields of papers citing papers by Indira Sahdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Indira Sahdev, 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 Indira Sahdev Line = papers co-authored together Indira Sahdev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006138
2 199056
3 199246
4 199046
5 201140
6 199533
7 201231
8 201729
9 201424
10
Stomatococcus mucilaginosus infections in children with leukemia.
199018
11 200617
12 198914
13 19939
14 20098
15 20036
16 19965
17 19925
18 19934
19 19964
20 20084

About Indira Sahdev

Indira Sahdev is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Genetics, Oncology and Genetics, having authored 25 papers that have together received 547 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Blood disorders and treatments (5 papers), Neutropenia and Cancer Infections (5 papers), Neonatal Health and Biochemistry (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Acute Myeloid Leukemia Research (2 papers) and Lysosomal Storage Disorders Research (2 papers). The work is most often cited by research in Hematology (190 citations), Genetics (79 citations), Immunology (145 citations), Physiology (25 citations) and Physiology (117 citations). Indira Sahdev has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jeffrey M. Lipton, Donna A. Wall, Joanne Kurtzberg, Shelly L. Carter, Daniel Pietryga, John E. Wagner, Nancy A. Kernan, Paul Martin, Mark E. Weinblatt and Joseph Kochen. Their work appears in journals such as Journal of Pediatric Hematology/Oncology, Biology of Blood and Marrow Transplantation, The Journal of Pediatrics, Pediatric Transplantation and Blood.

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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