Shekhar Krishnan

1.6k total citations
65 papers, 1.0k citations indexed

About

Shekhar Krishnan is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Shekhar Krishnan has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Public Health, Environmental and Occupational Health, 22 papers in Pediatrics, Perinatology and Child Health and 20 papers in Hematology. Recurrent topics in Shekhar Krishnan's work include Acute Lymphoblastic Leukemia research (36 papers), Childhood Cancer Survivors' Quality of Life (19 papers) and Acute Myeloid Leukemia Research (10 papers). Shekhar Krishnan is often cited by papers focused on Acute Lymphoblastic Leukemia research (36 papers), Childhood Cancer Survivors' Quality of Life (19 papers) and Acute Myeloid Leukemia Research (10 papers). Shekhar Krishnan collaborates with scholars based in India, United Kingdom and Malaysia. Shekhar Krishnan's co-authors include Vaskar Saha, See Chang Wong, Phaik Hooi Tio, Mary Jane Cardosa, David Perera, Naina Patel, Marcin Król, Paul A. Bates, Marc N. Offman and Catriona Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Shekhar Krishnan

57 papers receiving 997 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shekhar Krishnan India 18 549 261 216 210 205 65 1.0k
Susan L. Heatley Australia 18 485 0.9× 371 1.4× 507 2.3× 179 0.9× 88 0.4× 51 1.7k
L. Uharek Germany 22 119 0.2× 223 0.9× 796 3.7× 36 0.2× 175 0.9× 57 1.6k
Angelica Beate Winter Boldt Brazil 20 215 0.4× 196 0.8× 112 0.5× 21 0.1× 185 0.9× 72 1.2k
Zinaida Perić Croatia 19 283 0.5× 172 0.7× 629 2.9× 122 0.6× 133 0.6× 72 1.4k
Kapil Saxena United States 17 62 0.1× 200 0.8× 231 1.1× 24 0.1× 291 1.4× 39 1.2k
Takeshi Sato Japan 22 138 0.3× 304 1.2× 35 0.2× 39 0.2× 184 0.9× 83 1.3k
Griet Compernolle Belgium 21 150 0.3× 291 1.1× 184 0.9× 101 0.5× 61 0.3× 50 1.8k
Michael Cullen United States 23 67 0.1× 718 2.8× 331 1.5× 53 0.3× 28 0.1× 40 2.0k
Johannes Clausen Austria 16 66 0.1× 166 0.6× 349 1.6× 53 0.3× 225 1.1× 44 1.1k
Shira Natanson‐Yaron Israel 15 677 1.2× 260 1.0× 50 0.2× 371 1.8× 278 1.4× 16 2.2k

Countries citing papers authored by Shekhar Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Shekhar Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shekhar Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Shekhar Krishnan. A scholar is included among the top collaborators of Shekhar Krishnan 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 Shekhar Krishnan. Shekhar Krishnan 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
1.
Das, Nandana, Gaurav Narula, Amita Trehan, et al.. (2025). Risk stratified treatment for childhood acute lymphoblastic leukaemia: a multicentre observational study from India. The Lancet Regional Health - Southeast Asia. 37. 100593–100593. 1 indexed citations
2.
Krishnan, Shekhar & Vaskar Saha. (2025). Global Challenges in Paediatric Acute Lymphoblastic Leukaemia. Acta Haematologica. 149(1). 39–47.
3.
Das, Nandana, Shripad Banavali, Gaurav Narula, et al.. (2024). A shorter induction corticosteroid reduces acute lymphoblastic leukaemia induction deaths in the icicle-all-14 randomised trial. SHILAP Revista de lepidopterología. 9(4). S1–S1.
4.
Krishnan, Shekhar, et al.. (2024). Neonatal Encephalopathy due to Glutaminase Deficiency in a Neonate. SHILAP Revista de lepidopterología. 12(11). e9567–e9567.
5.
Vinod, K. K., Shekhar Krishnan, Ranjith Kumar Ellur, et al.. (2024). Uncovering QTLs for uppermost internode length and panicle exsertion in rice (Oryza sativa L.). Frontiers in Sustainable Food Systems. 8.
6.
Krishnan, Shekhar, et al.. (2024). A Bayesian quantile joint modeling of multivariate longitudinal and time-to-event data. Lifetime Data Analysis. 30(3). 680–699. 1 indexed citations
7.
Mukhopadhyay, Jayanta, et al.. (2024). Analysis toolkit for evaluation of drug titration practice in acute lymphoblastic leukemia maintenance. JAMIA Open. 7(3). ooae089–ooae089. 2 indexed citations
8.
9.
Krishnan, Shekhar, et al.. (2023). Maintenance Treatment in Acute Lymphoblastic Leukemia: A Clinical Primer. The Indian Journal of Pediatrics. 91(1). 47–58. 5 indexed citations
10.
11.
Chandy, Mammen, et al.. (2021). A Pilot Study to Determine the Utility of Automated Tissue Dissociator for Flowcytometry Based Evaluation of Hematolymphoid Tumor Tissue Biopsies. Indian Journal of Hematology and Blood Transfusion. 38(2). 403–410. 1 indexed citations
12.
13.
Parihar, Mayur, Manish Kumar Singh, Shekhar Krishnan, et al.. (2019). FxCycle™ Based Ploidy Correlates with Cytogenetic Ploidy in B‐Cell Acute Lymphoblastic Leukemia and Is Able to Detect the Aneuploid Minimal Residual Disease Clone. Cytometry Part B Clinical Cytometry. 96(5). 359–367. 16 indexed citations
14.
Parihar, Mayur, Manish Kumar Singh, Shekhar Krishnan, et al.. (2019). SPECTRUM AND IMMUNOPHENOTYPIC PROFILE OF ACUTE LEUKEMIA: A TERTIARY CENTER FLOW CYTOMETRY EXPERIENCE. Mediterranean Journal of Hematology and Infectious Diseases. 11(1). e2019017–e2019017. 27 indexed citations
15.
Arora, Neeraj, Shekhar Krishnan, Vaskar Saha, et al.. (2017). Mixed-phenotypic acute leukemia series from tertiary care center. Indian Journal of Pathology and Microbiology. 60(1). 43–43. 10 indexed citations
16.
Jamwal, Manu, Anu Aggarwal, Anirban Das, et al.. (2017). Next-generation sequencing unravels homozygous mutation in glucose-6-phosphate isomerase, GPI c.1040G > A (p.Arg347His) causing hemolysis in an Indian infant. Clinica Chimica Acta. 468. 81–84. 18 indexed citations
17.
Rajagopal, Revathi, Dharmendra Ganesan, Kum Thong Wong, et al.. (2016). Challenges of Treating Childhood Medulloblastoma in a Country With Limited Resources: 20 Years of Experience at a Single Tertiary Center in Malaysia. Journal of Global Oncology. 3(2). 143–156. 19 indexed citations
18.
Basu, Sabita, et al.. (2015). Blood Group Discrepancy-First Sign of Autoimmune Hemolytic Anemia after Hematopoietic Stem Cell Transplantation in a Child. Indian Journal of Hematology and Blood Transfusion. 32(S1). 211–213. 1 indexed citations
19.
Crickmore, Neil, et al.. (2013). Prospecting for scarabid specific Bacillus thuringiensis crystal toxin cry8 gene in sugarcane ecosystem of Tamil Nadu, India. Sussex Research Online (University of Sussex). 3(2). 1 indexed citations
20.
Wong, See Chang, Mong How Ooi, Abdul R. Abdullah, et al.. (2008). A decade of Japanese encephalitis surveillance in Sarawak, Malaysia: 1997–2006. Tropical Medicine & International Health. 13(1). 52–55. 30 indexed citations

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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