Jasmita Dass

500 citations
64 papers · 271 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders
    • Blood groups and transfusion
    • Hemoglobinopathies and Related Disorders

Papers in

    • Blood groups and transfusion 8
    • Acute Myeloid Leukemia Research 8
    • Iron Metabolism and Disorders 7
    • Chronic Myeloid Leukemia Treatments 5
    • Hemoglobinopathies and Related Disorders 9

Jasmita Dass

53 papers receiving 259 citations

Peers

Jasmita Dass
Comparison fields: 5 of 58
  • Hematology 95
  • Genetics 69
  • Infectious Diseases 37
  • Oncology 45
  • Physiology 35
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Citations per year

Countries citing papers authored by Jasmita Dass

Since Specialization
Citations

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

Fields of papers citing papers by Jasmita Dass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jasmita Dass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jasmita Dass Line = papers co-authored together Jasmita Dass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2
Diffuse pancreatic serous cystadenoma associated with neuroendocrine carcinoma: a case report and review of literature.
200924
3 201822
4 201713
5 201513
6 201312
7 201811
8 20189
9 20208
10 20218
11 20228
12 20177
13 20205
14 20205
15 20145
16 20215
17 20165
18 20165
19 20195
20
Androgenic status of lepromatous leprosy patients with gynecomastia.
19775

About Jasmita Dass

Jasmita Dass is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Infectious Diseases, having authored 64 papers that have together received 271 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (9 papers), Blood groups and transfusion (8 papers), Acute Myeloid Leukemia Research (8 papers), Iron Metabolism and Disorders (7 papers), Retinoids in leukemia and cellular processes (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), COVID-19 and healthcare impacts (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (95 citations), Genetics (69 citations), Infectious Diseases (37 citations), Oncology (45 citations) and Physiology (35 citations). Jasmita Dass has collaborated with scholars based in India, United States and China. Frequent co-authors include Manoranjan Mahapatra, Mukul Aggarwal, Jyoti Kotwal, Tulika Seth, Seema Tyagi, Manorama Bhargava, Vinod Arora, Nitin Agarwal, Anupam Sachdeva and M. Mahapatra. Their work appears in journals such as Blood, The Indian Journal of Medical Research, HemaSphere, International Journal of Microbiology Research and Acta Oncologica.

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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