Nikhil Sangle

639 citations
31 papers · 453 · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5
    • Chronic Lymphocytic Leukemia Research 3

Nikhil Sangle

28 papers receiving 437 citations

Peers

Nikhil Sangle
Comparison fields: 5 of 60
  • Hematology 93
  • Genetics 66
  • Rheumatology 72
  • Pulmonary and Respiratory Medicine 107
  • Dermatology 28
Replace Masako Otani with:
Masako Otani Japan
Alison Uzieblo United States
Nasir Bakshi Saudi Arabia
Anjum Hassan United States
Öner Doğan Türkiye
Bhuvana A. Setty United States
Moira Finlay Australia
P. Spaander Netherlands
Ken Gatter United States
Man Updesh Singh Sachdeva India
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Citations per field
00.5×2.9×
Masako Otani · 1×
Citations per year

Countries citing papers authored by Nikhil Sangle

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Sangle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 201262
3 201141
4 201438
5 201436
6 201531
7 201125
8 200517
9 201114
10 202113
11 201013
12 201411
13 201510
14 20129
15 20108
16 20178
17 20157
18 20216
19 20136
20 20105

About Nikhil Sangle

Nikhil Sangle is a scholar working on Genetics, Rheumatology, Pulmonary and Respiratory Medicine, Hematology and Surgery, having authored 31 papers that have together received 453 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Erythrocyte Function and Pathophysiology (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Hematological disorders and diagnostics (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cardiac tumors and thrombi (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Hematology (93 citations), Genetics (66 citations), Rheumatology (72 citations), Pulmonary and Respiratory Medicine (107 citations) and Dermatology (28 citations). Nikhil Sangle has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Lester J. Layfield, Sherrie L. Perkins, Kristi J. Smock, Archana M. Agarwal, Robert L. Schmidt, Mohamed E. Salama, Jay Patel, Julia R. Crim, Anjali Amarapurkar and Roberto Nussenzveig. Their work appears in journals such as Applied immunohistochemistry & molecular morphology, Archives of Pathology & Laboratory Medicine, Diagnostic Cytopathology, Modern Pathology and British Journal of Haematology.

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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