Rahul Dhanda

31 papers receiving 1.0k citations

Peers

Rahul Dhanda
Comparison fields: 5 of 102
  • Anesthesiology and Pain Medicine 156
  • Cardiology and Cardiovascular Medicine 338
  • Pulmonary and Respiratory Medicine 415
  • Applied Psychology 61
  • Critical Care and Intensive Care Medicine 40
Replace Alberto Carmona‐Bayonas with:
Alberto Carmona‐Bayonas Spain
Herbert Watzke Austria
Hilary Plant United Kingdom
Bruce J. Chalmer United States
B. R. Catchlove Australia
Elizabeth Ann Coleman United States
Kristin M. Sheffield United States
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Rahul Dhanda relative to Alberto Carmona‐Bayonas Spain Alberto Carmona‐Bayonas's profile →
Citations per field
00.5×4.3×
Alberto Carmona‐Bayonas · 1×
Citations per year

Countries citing papers authored by Rahul Dhanda

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Dhanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995230
2 1996178
3 2003131
4 200195
5
Development and validation of the Functional Assessment of Cancer Therapy-Kidney Symptom Index (FKSI).
200688
6 201854
7 201152
8 201332
9 199720
10 201319
11 201418
12 201417
13 201215
14 200914
15 200613
16 200612
17 201911
18 201510
19 201310
20 20069

About Rahul Dhanda

Rahul Dhanda is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (5 papers), Economic and Financial Impacts of Cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cancer Treatment and Pharmacology (3 papers), Hemodynamic Monitoring and Therapy (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (156 citations), Cardiology and Cardiovascular Medicine (338 citations), Pulmonary and Respiratory Medicine (415 citations), Applied Psychology (61 citations) and Critical Care and Intensive Care Medicine (40 citations). Rahul Dhanda has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Valerie A. Lawrence, Carey P. Page, Susan G. Hilsenbeck, Helen P. Hazuda, Cynthia D. Mulrow, Stephen L. Stern, Toni P. Miles, Walter L. Calmbach, Charles P. Mouton and Kathleen Gondek. Their work appears in journals such as Journal of Clinical Oncology, Clinical Genitourinary Cancer, Aging Clinical and Experimental Research, CHEST Journal and Blood.

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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