Mayur Parihar

890 total citations
44 papers, 196 citations indexed

About

Mayur Parihar is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mayur Parihar has authored 44 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 13 papers in Genetics and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mayur Parihar's work include Acute Myeloid Leukemia Research (16 papers), Acute Lymphoblastic Leukemia research (13 papers) and Chronic Myeloid Leukemia Treatments (11 papers). Mayur Parihar is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Acute Lymphoblastic Leukemia research (13 papers) and Chronic Myeloid Leukemia Treatments (11 papers). Mayur Parihar collaborates with scholars based in India, United Kingdom and Cyprus. Mayur Parihar's co-authors include Deepak Kumar Mishra, Neeraj Arora, Shekhar Krishnan, Manish Kumar Singh, Reena Nair, Vaskar Saha, Mammen Chandy, Mammen Chandy, Anirban Das and Aby Abraham and has published in prestigious journals such as Blood, RSC Advances and British Journal of Haematology.

In The Last Decade

Mayur Parihar

37 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayur Parihar India 9 111 93 51 43 36 44 196
Valeria Calafiore Italy 7 149 1.3× 62 0.7× 38 0.7× 29 0.7× 37 1.0× 21 214
Grigory Tsaur Russia 8 113 1.0× 116 1.2× 41 0.8× 23 0.5× 58 1.6× 57 195
Sally Jeffries United Kingdom 6 183 1.6× 50 0.5× 25 0.5× 57 1.3× 66 1.8× 10 235
Raouf Ben Abdelali France 8 145 1.3× 129 1.4× 55 1.1× 41 1.0× 74 2.1× 15 262
Andrea Inthal Austria 9 167 1.5× 207 2.2× 43 0.8× 44 1.0× 128 3.6× 13 321
James E. Radford United States 6 90 0.8× 67 0.7× 84 1.6× 34 0.8× 30 0.8× 8 209
Aurélie Boeree Netherlands 7 182 1.6× 207 2.2× 28 0.5× 34 0.8× 46 1.3× 18 253
Andrea Biloglav Sweden 10 195 1.8× 246 2.6× 45 0.9× 32 0.7× 103 2.9× 17 359
Francesca Messa Italy 7 166 1.5× 63 0.7× 28 0.5× 67 1.6× 152 4.2× 28 255
Carmen Sanzo Spain 5 166 1.5× 48 0.5× 24 0.5× 84 2.0× 48 1.3× 5 211

Countries citing papers authored by Mayur Parihar

Since Specialization
Citations

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

Fields of papers citing papers by Mayur Parihar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayur Parihar

This figure shows the co-authorship network connecting the top 25 collaborators of Mayur Parihar. A scholar is included among the top collaborators of Mayur Parihar 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 Mayur Parihar. Mayur Parihar 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.
Parihar, Mayur, et al.. (2024). STAT5B::RARα-positive acute promyelocytic leukemia: Role of next generation sequencing in detection of a rare malignancy. Hematology Transfusion and Cell Therapy. 47(1). 103726–103726.
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Parihar, Mayur, et al.. (2023). Role of Cytogenetics and FISH in Laboratory Workup of B Cell Precursor Acute Lymphoblastic Leukemia. Indian Journal of Medical and Paediatric Oncology. 44(5). 482–493. 1 indexed citations
6.
Parihar, Mayur, et al.. (2023). Role of Conventional Cytogenetics and FISH in the Laboratory Work Up of Plasma Cell Dyscrasias. Indian Journal of Medical and Paediatric Oncology. 44(5). 505–514. 1 indexed citations
7.
Achari, Rimpa Basu, Santam Chakraborty, Paromita Roy, et al.. (2022). Evaluating Quality Indicators of Glioblastoma Care: Audit Results From an Indian Tertiary Care Cancer Center. JCO Global Oncology. 8(8). e2100405–e2100405. 1 indexed citations
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Nag, Arijit, Rimpa Basu Achari, Indu Arun, et al.. (2022). Salvage Using Polatuzumab Vedotin Based Therapy in Relapsed Refractory Large B-Cell Lymphomas: Early Experience from a Real-World Middle-Income Setting Using Named-Patient Compassionate Access Program. Indian Journal of Hematology and Blood Transfusion. 39(4). 679–683. 3 indexed citations
10.
Saha, Kallol, Mayur Parihar, Divya Midha, et al.. (2020). Next generation sequencing in lung cancer: An initial experience from India. Current Problems in Cancer. 44(3). 100562–100562. 6 indexed citations
11.
Das, Subrata, Koyeli Das, Venu Thatikonda, et al.. (2020). Two novel cell culture models of buccal mucosal oral cancer from patients with no risk-habits of tobacco smoking or chewing. Oral Oncology. 113. 105131–105131. 10 indexed citations
12.
Naseem, Shano, et al.. (2020). Myeloid Neoplasm with t(8;22)(p11;q11): A Mimicker of Chronic Myeloid Leukaemia in Blast Crisis. Indian Journal of Hematology and Blood Transfusion. 37(2). 334–336.
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.
Nampoothiri, Ram Vasudevan, et al.. (2018). Granulocytic dysplasia: an indicator of clonal evolution in patients with chronic myeloid leukemia. Blood Research. 53(2). 180–180. 1 indexed citations
16.
Singh, Manish Kumar, et al.. (2017). Diagnosis of variant RARA translocation using standard dual-color dual-fusion PML/RARA FISH probes. Hematology/Oncology and Stem Cell Therapy. 12(1). 50–53. 8 indexed citations
17.
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
18.
Parihar, Mayur, et al.. (2012). Fluorescence in situ hybridization patterns of BCR/ABL1 fusion in chronic myelogenous leukemia at diagnosis. Indian Journal of Pathology and Microbiology. 55(3). 347–347. 6 indexed citations
19.
Patkar, Nikhil, Sheila Nair, Ansu Abu Alex, et al.. (2011). Clinicopathological features of hepatosplenic T cell lymphoma: a single centre experience from India. Leukemia & lymphoma. 53(4). 609–615. 8 indexed citations
20.
Parihar, Mayur, Usha Sitaram, Poonkuzhali Balasubramanian, et al.. (2011). Cytogenetic analysis of acute myeloid leukemia with t(8;21) from a tertiary care center in India with correlation between clinicopathologic characteristics and molecular analysis. Leukemia & lymphoma. 53(1). 103–109. 17 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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