N. Saha

1.7k citations
80 papers · 1.4k · h-index 19

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Blood groups and transfusion 10
    • Iron Metabolism and Disorders 4
    • Acute Myeloid Leukemia Research 4
    • Epigenetics and DNA Methylation 6

N. Saha

78 papers receiving 1.3k citations

Peers

N. Saha
Comparison fields: 5 of 107
  • Hematology 145
  • Oncology 280
  • Genetics 95
  • Biological Psychiatry 19
  • Cancer Research 107
Replace Jasenka Wagner with:
Jasenka Wagner Croatia
Michael F. Seldin United States
Tzu Phang United States
Marı́a-Luisa Gaspar Spain
A Okano Japan
David I. Hoar Canada
Jennifer Lin United States
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N. Saha relative to Jasenka Wagner Croatia Jasenka Wagner's profile →
Citations per field
00.5×2.7×
Jasenka Wagner · 1×
Citations per year

Countries citing papers authored by N. Saha

Since Specialization
Citations

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

Fields of papers citing papers by N. Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994309
2 200080
3 202260
4 199947
5 197441
6 199737
7 197636
8 199535
9 202034
10 197133
11 201733
12 199632
13 201629
14 199228
15 201928
16 199426
17 197826
18 201825
19 201620
20 197918

About N. Saha

N. Saha is a scholar working on Hematology, Molecular Biology, Physiology, Genetics and Pediatrics, Perinatology and Child Health, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Hemoglobinopathies and Related Disorders (9 papers), Neonatal Health and Biochemistry (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Epigenetics and DNA Methylation (6 papers), Metabolism and Genetic Disorders (5 papers), Iron Metabolism and Disorders (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (145 citations), Oncology (280 citations), Genetics (95 citations), Biological Psychiatry (19 citations) and Cancer Research (107 citations). N. Saha has collaborated with scholars based in Singapore, United States and Sudan. Frequent co-authors include G. Beckman, Richard Birgander, Bhaswati Banerjee, L. Beckman, Andrew G. Muntean, L. Beckman, J.S.H. Tay, Spitsyn Va, Mengying Liu and W F Tsoi. Their work appears in journals such as Human Heredity, Journal of Medical Genetics, Human Genetics, American Journal of Hematology and Annals of Nutrition and Metabolism.

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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