Indira Sahdev

959 citations
26 papers · 604 · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Blood disorders and treatments
    • Mesenchymal stem cell research

Papers in

Indira Sahdev

26 papers receiving 556 citations

Peers

Indira Sahdev
Comparison fields: 5 of 73
  • Hematology 196
  • Genetics 78
  • Immunology 141
  • Physiology 23
  • Physiology 120
Replace Jörn‐Sven Kühl with:
Jörn‐Sven Kühl Germany
Jignesh Dalal United States
Josette Champagne Canada
K. Hugh‐Jones United Kingdom
Ashish O. Gupta United States
Ari M. Simckes United States
Reiji Fukano Japan
Jiří Vorlíček Czechia
Jian‐Pei Fang China
Ahti Lammi Australia
Indira Sahdev relative to Jörn‐Sven Kühl Germany Jörn‐Sven Kühl's profile →
Citations per field
00.5×1.5×
Jörn‐Sven Kühl · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006148
2 199068
3 199253
4 199049
5 201140
6 199539
7 201234
8 201730
9 201427
10 200618
11
Stomatococcus mucilaginosus infections in children with leukemia.
199018
12 198914
13 200910
14 19939
15 19938
16 20036
17 19966
18 19925
19 20084
20 19964

About Indira Sahdev

Indira Sahdev is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Oncology, Genetics and Genetics, having authored 26 papers that have together received 604 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 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), Neuroblastoma Research and Treatments (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (196 citations), Genetics (78 citations), Immunology (141 citations), Physiology (23 citations) and Physiology (120 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, John E. Wagner, Shelly L. Carter, Nancy A. Kernan, Paul Martin, Daniel Pietryga, Mark E. Weinblatt and Joseph Kochen. Their work appears in journals such as Journal of Pediatric Hematology/Oncology, Biology of Blood and Marrow Transplantation, Pediatric Transplantation, The Journal of Pediatrics and Pediatric Nephrology.

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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