Anu Korula

1.4k citations
113 papers · 921 · h-index 16

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%

Papers in

    • Hematopoietic Stem Cell Transplantation 27
    • Acute Myeloid Leukemia Research 24
    • Chronic Myeloid Leukemia Treatments 7

Anu Korula

104 papers receiving 899 citations

Peers

Anu Korula
Comparison fields: 5 of 69
  • Hematology 440
  • Genetics 106
  • Oncology 209
  • Immunology 119
  • Public Health, Environmental and Occupational Health 152
Replace Yasutaka Aoyama with:
Yasutaka Aoyama Japan
Christoph Scheid Germany
Masashi Sawa Japan
Daniel Stachel Germany
Theodora Foukaneli United Kingdom
F Baron Belgium
Bénédicte Bruno France
Arno Enno Australia
J. H. Bourhis France
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Anu Korula relative to Yasutaka Aoyama Japan Yasutaka Aoyama's profile →
Citations per field
00.5×2×4×6×8.4×
Yasutaka Aoyama · 1×
Citations per year

Countries citing papers authored by Anu Korula

Since Specialization
Citations

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

Fields of papers citing papers by Anu Korula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 202271
3 201940
4 201629
5 202429
6 201726
7 201726
8 201724
9 201723
10 201822
11 202021
12 201820
13 202018
14 201717
15 201816
16 202016
17 202215
18 201714
19 202014
20 202014

About Anu Korula

Anu Korula is a scholar working on Hematology, Genetics, Oncology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 113 papers that have together received 921 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (27 papers), Acute Lymphoblastic Leukemia research (25 papers), Acute Myeloid Leukemia Research (24 papers), Retinoids in leukemia and cellular processes (12 papers), Lymphoma Diagnosis and Treatment (11 papers), Polyomavirus and related diseases (8 papers), Neutropenia and Cancer Infections (8 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Hematology (440 citations), Genetics (106 citations), Oncology (209 citations), Immunology (119 citations) and Public Health, Environmental and Occupational Health (152 citations). Anu Korula has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Biju George, Vikram Mathews, Aby Abraham, Alok Srivastava, Kavitha M. Lakshmi, Poonkuzhali Balasubramanian, Uday Prakash Kulkarni, Anup Joseph Devasia, Ansu Abu Alex and Auro Viswabandya. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, British Journal of Haematology, Journal of Clinical Pathology and Annals of Hematology.

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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