David S. Viswanatha

6.8k citations
133 papers · 3.6k indexed · 1 hit paper · h-index 32
Topics
Acute Myeloid Leukemia Research (56 papers)Lymphoma Diagnosis and Treatment (51 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (32 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

David S. Viswanatha

123 papers receiving 3.5k citations

Hit Papers

Clinical significance of minimal residual disease in chil...20082026201420202008100200300400500

Peers

David S. Viswanatha
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 1.8k
  • Hematology 1.2k
  • Oncology 1.1k
  • Genetics 966
  • Public Health, Environmental and Occupational Health 813
Replace Aspasia Stamatoullas with:
Aspasia Stamatoullas France
Sa A. Wang United States
Yang O. Huh United States
Alessandro Levis Italy
Bertram Glaß Germany
Michèle L. Donato United States
Susan Mathew United States
Cesare Guglielmi Italy
Blanca Espinet Spain
Françoise Rigal‐Huguet France
David S. Viswanatha relative to Aspasia Stamatoullas France Aspasia Stamatoullas's profile →
Citations per field
00.5×
Aspasia Stamatoullas · 1×
Citations per year

Countries citing papers authored by David S. Viswanatha

Since Specialization
Citations

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

Fields of papers citing papers by David S. Viswanatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Viswanatha. 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 David S. Viswanatha. The network helps show where David S. Viswanatha may publish in the future.

Co-authorship network of co-authors of David S. Viswanatha

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Viswanatha. A scholar is included among the top collaborators of David S. Viswanatha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David S. Viswanatha. David S. Viswanatha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 0
5 1
6 10
7 2
8 7
9 1
10 15
11 4
12 1
13 6
14 9
15 10
16 27
17 8
18 7
19 3
20 13

About David S. Viswanatha

David S. Viswanatha is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 133 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (56 papers), Lymphoma Diagnosis and Treatment (51 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (32 papers). The work is most often cited by research in Hematology (1.2k citations), Pathology and Forensic Medicine (1.8k citations) and Genetics (966 citations). David S. Viswanatha has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Randy D. Gascoyne, Cheryl L. Willman, Joseph M. Connors, Brian Skinnider, Dennis D. Weisenburger, Daniel Wu, Timothy C. Greiner, Mukesh Chhanabhai, Patricia Aoun and Stephan W. Morris. Their work appears in journals such as Nature Genetics, Blood and PEDIATRICS.

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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