Ajit Desai

945 total citations
10 papers, 245 citations indexed

About

Ajit Desai is a scholar working on Cancer Research, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ajit Desai has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Oncology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ajit Desai's work include Cancer Treatment and Pharmacology (4 papers), Breast Cancer Treatment Studies (3 papers) and Neutropenia and Cancer Infections (2 papers). Ajit Desai is often cited by papers focused on Cancer Treatment and Pharmacology (4 papers), Breast Cancer Treatment Studies (3 papers) and Neutropenia and Cancer Infections (2 papers). Ajit Desai collaborates with scholars based in United States, Canada and Belgium. Ajit Desai's co-authors include Anabella Lucca Bianchi, Jong‐Oh Kim, Danai Khemasuwan, Matías E. Valsecchi, Young Kwang Chae, William Tester, Eleftherios P. Mamounas, James Chapman, Virginie Fourchotte and Emmanuel Quinaux and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Heart Journal.

In The Last Decade

Ajit Desai

8 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Desai United States 5 131 101 75 51 44 10 245
Fiorita Poulakaki Greece 9 88 0.7× 111 1.1× 44 0.6× 30 0.6× 42 1.0× 17 237
Toshiaki Iwase United States 13 114 0.9× 282 2.8× 42 0.6× 97 1.9× 92 2.1× 35 439
Anna Berand Germany 8 118 0.9× 153 1.5× 21 0.3× 75 1.5× 181 4.1× 15 331
Lin-ang Wang China 11 117 0.9× 111 1.1× 56 0.7× 76 1.5× 189 4.3× 17 356
Ankit Patel United States 11 72 0.5× 85 0.8× 15 0.2× 79 1.5× 99 2.3× 26 285
Rolf Kaaresen Norway 12 165 1.3× 212 2.1× 124 1.7× 47 0.9× 138 3.1× 23 450
Verena Lieb Germany 11 93 0.7× 68 0.7× 43 0.6× 82 1.6× 118 2.7× 31 290
Αναστασία Κατσιαμπούρα United States 8 114 0.9× 139 1.4× 22 0.3× 82 1.6× 108 2.5× 17 303
Maria Teresa Ionta Italy 11 59 0.5× 107 1.1× 28 0.4× 53 1.0× 77 1.8× 24 230
Liguang Wang China 10 52 0.4× 85 0.8× 56 0.7× 76 1.5× 78 1.8× 15 303

Countries citing papers authored by Ajit Desai

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Desai

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

All Works

10 of 10 papers shown
1.
Desai, Ajit, et al.. (2024). Impact of sodium-glucose cotransporter-2 inhibitor use on peak VO2 in advanced heart failure patients. Frontiers in Cardiovascular Medicine. 11. 1376645–1376645.
3.
Chapman, James & Ajit Desai. (2023). Macroeconomic Predictions Using Payments Data and Machine Learning. SHILAP Revista de lepidopterología. 5(4). 652–683. 4 indexed citations
4.
Chapman, James & Ajit Desai. (2021). Macroeconomic Predictions using Payments Data and Machine Learning. SSRN Electronic Journal. 5 indexed citations
5.
Chae, Young Kwang, Matías E. Valsecchi, Jong‐Oh Kim, et al.. (2011). Reduced Risk of Breast Cancer Recurrence in Patients Using ACE Inhibitors, ARBs, and/or Statins. Cancer Investigation. 29(9). 585–593. 145 indexed citations
6.
Robidoux, André, Aman U. Buzdar, Emmanuel Quinaux, et al.. (2010). A Phase II Neoadjuvant Trial of Sequential Nanoparticle Albumin-Bound Paclitaxel Followed by 5-Fluorouracil/Epirubicin/Cyclophosphamide in Locally Advanced Breast Cancer. Clinical Breast Cancer. 10(1). 81–86. 53 indexed citations
7.
Schiller, Joan H., et al.. (2004). Randomized phase II trial of weekly squalamine, carboplatin, and paclitaxel as first line therapy for advanced non-small cell lung cancer. Journal of Clinical Oncology. 22(14_suppl). 7109–7109. 2 indexed citations
8.
Smith, Roy E., Stewart Anderson, Ann Brown, et al.. (2002). Phase II Trial of Doxorubicin/Docetaxel/Cyclophosphamide for Locally Advanced and Metastatic Breast Cancer: Results from NSABP Trial BP-58. Clinical Breast Cancer. 3(5). 333–340. 20 indexed citations
9.
Bennett, John M., Patrick J. Byrne, Ajit Desai, et al.. (1985). A randomized multicenter trial of cyclophosphamide, Novantrone and 5-fluorouracil (CNF) versus cyclophosphamide, Adriamycin and 5-fluorouracil (CAF) in patients with metastatic breast cancer. Investigational New Drugs. 3(2). 179–185. 15 indexed citations
10.
Sharma, Satyavan, et al.. (1984). Absent right pulmonary artery with atrial septal defect. American Heart Journal. 108(4). 1037–1038.

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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