Ritesh Sachdev

673 citations
62 papers · 491 · h-index 11

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

Ritesh Sachdev

51 papers receiving 460 citations

Peers

Ritesh Sachdev
Comparison fields: 5 of 82
  • Genetics 154
  • Hematology 138
  • Oncology 87
  • Pathology and Forensic Medicine 57
  • Infectious Diseases 55
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Citations per year

Countries citing papers authored by Ritesh Sachdev

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh Sachdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ritesh Sachdev, 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 Ritesh Sachdev Line = papers co-authored together Ritesh Sachdev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201080
2 201461
3 201552
4
Transfusion-related chronic liver disease in sickle cell anemia.
199126
5 201824
6 200722
7 201622
8 201519
9 201617
10 201512
11 201611
12 20149
13 20188
14
Progressive rise of c fos expression from premalignant to malignant lesions of oral cavity.
20088
15 20167
16 20157
17 20107
18
Sinus histiocytosis with massive lymphadenopathy. Is the lymph node enlargement always massive?
20076
19 20146
20 20145

About Ritesh Sachdev

Ritesh Sachdev is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Epidemiology, having authored 62 papers that have together received 491 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (11 papers), Acute Myeloid Leukemia Research (6 papers), Fungal Infections and Studies (5 papers), Multiple Myeloma Research and Treatments (5 papers), Histiocytic Disorders and Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Hematological disorders and diagnostics (3 papers). The work is most often cited by research in Genetics (154 citations), Hematology (138 citations), Oncology (87 citations), Pathology and Forensic Medicine (57 citations) and Infectious Diseases (55 citations). Ritesh Sachdev has collaborated with scholars based in India and United States. Frequent co-authors include Shalini Goel, Gaurav Tyagi, Vimarsh Raina, Smeeta Gajendra, Pranav Dorwal, Dheeraj Gautam, Amit Pande, Pooja Sharma, Simmi Mehra and Rashi Sharma. Their work appears in journals such as Pathology, Blood, Cytometry Part B Clinical Cytometry, Acta Cytologica and The Indian Journal of Medical Research.

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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