Devender S. Dhanda

599 citations
26 papers · 386 · h-index 11

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 9
    • CAR-T cell therapy research 7

Devender S. Dhanda

25 papers receiving 377 citations

Peers

Devender S. Dhanda
Comparison fields: 5 of 53
  • Pharmaceutical Science 62
  • Hematology 96
  • Oncology 140
  • Pulmonary and Respiratory Medicine 108
  • Food Science 32
Replace Jonas Wilbs with:
Jonas Wilbs Switzerland
Mahmoud Abdelkarim Germany
Misaki Nakamura Japan
Izmarie Poventud‐Fuentes United States
Ying Yao China
Ramy A. Abdelrahman United States
Liyue Zhou China
Chenbei Li China
Ryo Maeyama Japan
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Citations per field
00.5×2×4×5.3×
Jonas Wilbs · 1×
Citations per year

Countries citing papers authored by Devender S. Dhanda

Since Specialization
Citations

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

Fields of papers citing papers by Devender S. Dhanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200466
2 202149
3 201348
4 202447
5 202421
6 202115
7 200515
8 202013
9 202213
10 202313
11 202312
12 202210
13 20239
14 20248
15 20258
16 20246
17 20226
18 20246
19 20205
20 20055

About Devender S. Dhanda

Devender S. Dhanda is a scholar working on Hematology, Oncology, Pharmaceutical Science, Pulmonary and Respiratory Medicine and Immunology, having authored 26 papers that have together received 386 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), CAR-T cell therapy research (7 papers), Protein Degradation and Inhibitors (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), Atrial Fibrillation Management and Outcomes (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Drug Solubulity and Delivery Systems (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Pharmaceutical Science (62 citations), Hematology (96 citations), Oncology (140 citations), Pulmonary and Respiratory Medicine (108 citations) and Food Science (32 citations). Devender S. Dhanda has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Uday B. Kompella, Narayan P. S. Cheruvu, Sidney S. Mirvish, Puneet Tyagi, Nina D. Shah, Julia Braverman, Michel Delforge, Nikhil C. Munshi, Timothy Campbell and Jesús F. San Miguel. Their work appears in journals such as Blood, Value in Health, Leukemia Research, Blood Advances and HemaSphere.

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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