Rakchha Chhetri

582 total citations
25 papers, 219 citations indexed

About

Rakchha Chhetri is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Rakchha Chhetri has authored 25 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 15 papers in Genetics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Rakchha Chhetri's work include Acute Myeloid Leukemia Research (17 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Rakchha Chhetri is often cited by papers focused on Acute Myeloid Leukemia Research (17 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Rakchha Chhetri collaborates with scholars based in Australia, United States and Germany. Rakchha Chhetri's co-authors include Devendra Hiwase, Deepak Singhal, Luen Bik To, Peter Bardy, David M. Ross, Monika Kutyna, John Reynolds, Nicholas Wickham, Ian D. Lewis and Ulrich Germing and has published in prestigious journals such as Blood, European Journal of Cancer and Cancers.

In The Last Decade

Rakchha Chhetri

22 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rakchha Chhetri Australia 9 151 88 47 28 26 25 219
Kian Meng Chang Malaysia 8 100 0.7× 71 0.8× 22 0.5× 12 0.4× 33 1.3× 29 198
E. Zipperer Germany 5 283 1.9× 162 1.8× 12 0.3× 53 1.9× 28 1.1× 7 301
Corinna Strupp Germany 5 464 3.1× 268 3.0× 14 0.3× 77 2.8× 75 2.9× 7 485
Valentina Giai Italy 9 197 1.3× 132 1.5× 16 0.3× 19 0.7× 127 4.9× 24 287
Lars‐Olof Mügge Germany 8 182 1.2× 45 0.5× 13 0.3× 41 1.5× 73 2.8× 21 224
Manuela Zappa Italy 11 111 0.7× 107 1.2× 197 4.2× 4 0.1× 40 1.5× 21 318
Angela Melpignano Italy 9 289 1.9× 253 2.9× 42 0.9× 19 0.7× 45 1.7× 24 358
Eun‐Jung Jang South Korea 10 130 0.9× 109 1.2× 11 0.2× 23 0.8× 16 0.6× 26 202
Alix O’Meara Switzerland 9 198 1.3× 133 1.5× 14 0.3× 21 0.8× 12 0.5× 19 319
Uroš Markovic Italy 8 95 0.6× 33 0.4× 24 0.5× 9 0.3× 60 2.3× 36 188

Countries citing papers authored by Rakchha Chhetri

Since Specialization
Citations

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

Fields of papers citing papers by Rakchha Chhetri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakchha Chhetri

This figure shows the co-authorship network connecting the top 25 collaborators of Rakchha Chhetri. A scholar is included among the top collaborators of Rakchha Chhetri 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 Rakchha Chhetri. Rakchha Chhetri 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.
Menz, Bradley D., Natansh D. Modi, Ahmad Y. Abuhelwa, et al.. (2025). Generative AI chatbots for reliable cancer information: Evaluating web-search, multilingual, and reference capabilities of emerging large language models. European Journal of Cancer. 218. 115274–115274. 9 indexed citations
2.
Baranwal, Anmol, Rakchha Chhetri, David T Yeung, et al.. (2023). Factors predicting survival following alloSCT in patients with therapy-related AML and MDS: a multicenter study. Bone Marrow Transplantation. 58(7). 769–776. 5 indexed citations
3.
Chhetri, Rakchha, Deepak Singhal, David M. Ross, et al.. (2023). Personalized risk model for predicting risk of acute coronary syndrome in patients with myelodysplastic syndromes. Blood Advances. 7(13). 3032–3035.
4.
Chhetri, Rakchha, Elizabeth Ngoc Hoa Tran, Monika Kutyna, et al.. (2023). A Personalized Risk Model for Azacitidine Outcome in Myelodysplastic Syndrome and Other Myeloid Neoplasms Identified by Machine Learning Model Utilizing Real-World Data. Cancers. 15(16). 4019–4019. 4 indexed citations
5.
6.
Baranwal, Anmol, Rakchha Chhetri, Chung Hoow Kok, et al.. (2022). Factors Predicting Survival Following Allogeneic Stem Cell Transplant in Patients with Therapy-Related Myeloid Neoplasms. Transplantation and Cellular Therapy. 28(3). S137–S138. 2 indexed citations
7.
Shah, Mithun Vinod, Rakchha Chhetri, Chung Hoow Kok, et al.. (2022). Outcomes following venetoclax‐based treatment in therapy‐related myeloid neoplasms. American Journal of Hematology. 97(8). 1013–1022. 8 indexed citations
8.
Saygin, Caner, Gregory W. Roloff, Christopher N Hahn, et al.. (2022). Allogeneic hematopoietic stem cell transplant outcomes in adults with inherited myeloid malignancies. Blood Advances. 7(4). 549–554. 23 indexed citations
9.
Saygin, Caner, Gregory W. Roloff, Christopher N Hahn, et al.. (2022). Allogeneic Hematopoietic Stem Cell Transplant Outcomes in Adults with Inherited Myeloid Malignancies. Blood. 140(Supplement 1). 10542–10544. 1 indexed citations
10.
Hahn, Christopher N, Simone Feurstein, Deepak Singhal, et al.. (2021). Unexpected High Frequency of Pathogenic Germline Variants in Older Adults with Primary Myelodysplastic Syndrome. Blood. 138(Supplement 1). 2594–2594. 1 indexed citations
11.
12.
Marinelli, Tina, Rakchha Chhetri, Geoffrey D. Higgins, et al.. (2019). Respiratory Viruses Cause Late Morbidity in Recipients of Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(4). 782–788. 16 indexed citations
13.
Wall, Michelle, Rakchha Chhetri, Deepak Singhal, et al.. (2019). Comprehensive geriatric assessment predicts azacitidine treatment duration and survival in older patients with myelodysplastic syndromes. Journal of Geriatric Oncology. 11(1). 114–120. 27 indexed citations
14.
Roberts, Matthew B., Narin Bak, Rakchha Chhetri, et al.. (2019). Clinical Effectiveness of Conjugate Pneumococcal Vaccination in Hematopoietic Stem Cell Transplantation Recipients. Biology of Blood and Marrow Transplantation. 26(2). 421–427. 12 indexed citations
15.
Wall, Michelle, Rakchha Chhetri, Deepak Singhal, et al.. (2019). Screening for deficits using the G8 and VES-13 in older patients with Myelodysplastic syndromes. Journal of Geriatric Oncology. 11(1). 128–130. 6 indexed citations
16.
Kutyna, Monika, Sharon Paton, Dimitrios Cakouros, et al.. (2019). Aberrant Bone Marrow Microenvironment in Therapy Related Myeloid Neoplasm (t-MN). Blood. 134(Supplement_1). 1694–1694. 3 indexed citations
17.
Wall, Michelle, Rakchha Chhetri, Deepak Singhal, et al.. (2019). An Observational Study of the Prescribing Practices and Patient Reported Outcomes Measures in Older People with Myelodysplastic Syndrome. Blood. 134(Supplement_1). 5426–5426. 1 indexed citations
18.
Wall, Michelle, Rakchha Chhetri, Deepak Singhal, et al.. (2018). Geriatric Assessment in Older People with Myelodysplasia Is Predictive of Azacitidine Therapy Completion and Survival: A Prospective Interventional Study at the Royal Adelaide Hospital. Blood. 132(Supplement 1). 3101–3101. 2 indexed citations
19.
Singhal, Deepak, Monika Kutyna, Rakchha Chhetri, et al.. (2017). Red cell alloimmunization is associated with development of autoantibodies and increased red cell transfusion requirements in myelodysplastic syndrome. Haematologica. 102(12). 2021–2029. 39 indexed citations
20.
Hiwase, Devendra, Deepak Singhal, Corinna Strupp, et al.. (2017). Dynamic assessment of RBC‐transfusion dependency improves the prognostic value of the revised‐IPSS in MDS patients. American Journal of Hematology. 92(6). 508–514. 27 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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