Ajay Kundra

417 total citations
9 papers, 139 citations indexed

About

Ajay Kundra is a scholar working on Genetics, Hematology and Rheumatology. According to data from OpenAlex, Ajay Kundra has authored 9 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Hematology and 4 papers in Rheumatology. Recurrent topics in Ajay Kundra's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Eosinophilic Disorders and Syndromes (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Ajay Kundra is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Eosinophilic Disorders and Syndromes (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Ajay Kundra collaborates with scholars based in United States. Ajay Kundra's co-authors include Jen C. Wang, Chi Chen, Tony Cheung, Vladimir Gotlieb, William H. Westra, Hui Chen and Susan Wu and has published in prestigious journals such as Blood, PLoS ONE and Critical Reviews in Oncology/Hematology.

In The Last Decade

Ajay Kundra

8 papers receiving 138 citations

Peers

Ajay Kundra
Ajay Kundra
Citations per year, relative to Ajay Kundra Ajay Kundra (= 1×) peers Giuseppe Auteri

Countries citing papers authored by Ajay Kundra

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Kundra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Kundra

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Kundra. A scholar is included among the top collaborators of Ajay Kundra 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 Ajay Kundra. Ajay Kundra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Kundra, Ajay & Jen C. Wang. (2017). Interferon induced thrombotic microangiopathy (TMA): Analysis and concise review. Critical Reviews in Oncology/Hematology. 112. 103–112. 22 indexed citations
3.
Kundra, Ajay, et al.. (2017). PDGFRᵝ-Rearranged Myeloid Neoplasm with Marked Eosinophilia in a 37-Year-Old Man; And a Literature Review. American Journal of Case Reports. 18. 173–180.
4.
Wang, Jen C., et al.. (2016). Myeloid-derived suppressor cells in patients with myeloproliferative neoplasm. Leukemia Research. 43. 39–43. 46 indexed citations
5.
Kundra, Ajay, et al.. (2016). Nuclear protein in testis midline carcinoma of larynx: An underdiagnosed entity. Head & Neck. 38(8). E2471–4. 9 indexed citations
6.
Chen, Hui, et al.. (2015). Gastric Perforation in a Patient Receiving Neoadjuvant Chemoradiotherapy. World Journal of Oncology. 6(3). 383–386. 1 indexed citations
7.
Wang, Jen C., et al.. (2015). Immune Derangements in Patients with Myelofibrosis: The Role of Treg, Th17, and sIL2Rα. PLoS ONE. 10(3). e0116723–e0116723. 28 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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