Kaveri Suryanarayan

1.3k citations
33 papers · 651 indexed · h-index 13

Kaveri Suryanarayan

30 papers receiving 632 citations

Peers

Kaveri Suryanarayan
Comparison fields: 5 of 68
  • Hematology 334
  • Genetics 144
  • Pathology and Forensic Medicine 109
  • Oncology 158
  • Public Health, Environmental and Occupational Health 139
Replace Arlene Redner with:
Arlene Redner United States
A. Nagler Israel
Noemi F. Pereira Brazil
Bijan Moshaver Netherlands
MO Diaz United States
MS Roth United States
Barbara H. Barendregt Netherlands
G. F. Barker United States
JD Rowley United States
H. Drexler Germany
Kaveri Suryanarayan relative to Arlene Redner United States Arlene Redner's profile →
Citations per field
00.5×6.8×
Arlene Redner · 1×
Citations per year

Countries citing papers authored by Kaveri Suryanarayan

Since Specialization
Citations

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

Fields of papers citing papers by Kaveri Suryanarayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20231
4 202225
5 20220
6 20227
7 20212
8 202112
9 202017
10 20206
11 202013
12 20191
13 201714
14 201532
15 200218
16 20025
17 200115
18 19985
19 199814
20 19914

About Kaveri Suryanarayan

Kaveri Suryanarayan is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Oncology and Pathology and Forensic Medicine, having authored 33 papers that have together received 651 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Cancer Treatment and Pharmacology (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (334 citations), Genetics (144 citations), Pathology and Forensic Medicine (109 citations), Oncology (158 citations) and Public Health, Environmental and Occupational Health (139 citations). Kaveri Suryanarayan has collaborated with scholars based in United States, Greece and Spain. Frequent co-authors include C A Westbrook, Douglas Tkachuk, Joe W. Gray, D. Pinkel, Michael L. Cleary, Arlene Redner, Michael Andreeff, ML Cleary, Sabine Köhler and SP Hunger. Their work appears in journals such as Blood, HemaSphere, Journal of Pediatric Hematology/Oncology, Journal of Clinical Oncology and Leukemia.

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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