Niti Dham

1.1k citations
32 papers · 765 · h-index 15

Impact in

  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 14
    • Connective tissue disorders research 3
    • Iron Metabolism and Disorders 8

Niti Dham

31 papers receiving 750 citations

Peers

Niti Dham
Comparison fields: 5 of 60
  • Genetics 536
  • Hematology 312
  • Cardiology and Cardiovascular Medicine 120
  • Pediatrics, Perinatology and Child Health 69
  • Orthopedics and Sports Medicine 28
Replace Omar Niss with:
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Niti Dham relative to Omar Niss United States Omar Niss's profile →
Citations per field
00.5×6.2×
Omar Niss · 1×
Citations per year

Countries citing papers authored by Niti Dham

Since Specialization
Citations

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

Fields of papers citing papers by Niti Dham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009138
2 201187
3 201469
4 201063
5 200955
6 200948
7 200946
8 200944
9 201339
10 199933
11 201327
12 202020
13 201118
14 201115
15 201614
16 20219
17 20207
18 20236
19 20155
20 20245

About Niti Dham

Niti Dham is a scholar working on Genetics, Hematology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 765 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (14 papers), Iron Metabolism and Disorders (8 papers), Connective tissue disorders research (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Neonatal Health and Biochemistry (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Hereditary Neurological Disorders (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Genetics (536 citations), Hematology (312 citations), Cardiology and Cardiovascular Medicine (120 citations), Pediatrics, Perinatology and Child Health (69 citations) and Orthopedics and Sports Medicine (28 citations). Niti Dham has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Gregory J. Kato, Mehdi Nouraie, Mark T. Gladwin, Oswaldo Castro, Sohail Rana, Caterina P. Minniti, Andrew Campbell, Victor R. Gordeuk, Craig Sable and Gregory J. Ensing. Their work appears in journals such as Blood, Haematologica, Journal of Cellular Biochemistry, The American Journal of Cardiology and Circulation Cardiovascular Quality and Outcomes.

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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