Radha Arunkumar

647 citations
15 papers · 463 · h-index 12

Impact in

Papers in

    • Anesthesia and Pain Management 3
    • Enhanced Recovery After Surgery 2
    • Surgical site infection prevention 1
    • Glioma Diagnosis and Treatment 2
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 1

Radha Arunkumar

13 papers receiving 454 citations

Peers

Radha Arunkumar
Comparison fields: 5 of 48
  • Developmental Neuroscience 42
  • Anesthesiology and Pain Medicine 42
  • Surgery 203
  • Cardiology and Cardiovascular Medicine 87
  • Genetics 38
Replace Katherine Hagan with:
Katherine Hagan United States
G. Nowak Germany
John F. Ryan United States
Erika Puente-Poushnejad United States
R Wakusawa Japan
Alisa C. Thorne United States
Carlos Cozacov Israel
José M. Mier Spain
Emel Sağıroğlu Türkiye
Yumei Jiang China
Radha Arunkumar relative to Katherine Hagan United States Katherine Hagan's profile →
Citations per field
00.5×2.7×
Katherine Hagan · 1×
Citations per year

Countries citing papers authored by Radha Arunkumar

Since Specialization
Citations

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

Fields of papers citing papers by Radha Arunkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201888
2 201386
3 201584
4 201435
5 201231
6 201628
7 200423
8 201621
9 201619
10 201714
11 201813
12 201311
13 201510
14 20250
15 20150

About Radha Arunkumar

Radha Arunkumar is a scholar working on Surgery, Genetics, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Occupational Therapy, having authored 15 papers that have together received 463 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Enhanced Recovery After Surgery (2 papers), Glioma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Surgical site infection prevention (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Developmental Neuroscience (42 citations), Anesthesiology and Pain Medicine (42 citations), Surgery (203 citations), Cardiology and Cardiovascular Medicine (87 citations) and Genetics (38 citations). Radha Arunkumar has collaborated with scholars based in United States. Frequent co-authors include Pascal Owusu‐Agyemang, Katherine Hagan, Juan P. Cata, Anh Dang, Shreyas Bhavsar, Thomas F. Rahlfs, Keyuri Popat, Andrea Hayes‐Jordan, Roxana Grasu and Thomas M. McHugh. Their work appears in journals such as Annals of Surgical Oncology, Radiotherapy and Oncology, Practical Radiation Oncology, Journal of Neurosurgical Anesthesiology and Gastrointestinal Endoscopy.

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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