Kunal Saigal

415 citations
23 papers · 324 indexed · h-index 9

Impact in

    • Breast Cancer Treatment Studies
    • NF-κB Signaling Pathways
  • Radiation top 10%
    • Advanced Radiotherapy Techniques

Papers in

Kunal Saigal

21 papers receiving 313 citations

Peers

Kunal Saigal
Comparison fields: 5 of 53
  • Cancer Research 142
  • Radiation 60
  • Otorhinolaryngology 23
  • Oncology 124
  • Pathology and Forensic Medicine 59
Replace Joanne Jang with:
Joanne Jang United States
Francisca Ong Netherlands
Honglei Pei China
Ben Robinson United Kingdom
Janet Taylor United Kingdom
Tse-Kuan Yu United States
Chun Chung Yau Hong Kong
O. Nascimben Italy
A.L. Zietman United States
Shahin Shajahan United States
Kunal Saigal relative to Joanne Jang United States Joanne Jang's profile →
Citations per field
00.5×3.3×
Joanne Jang · 1×
Citations per year

Countries citing papers authored by Kunal Saigal

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Saigal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20215
2 20190
3 201823
4 20165
5 20158
6 20154
7 20147
8 20141
9 201322
10 201224
11 201232
12 201137
13 20117
14 20111
15 20111
16 200946
17 200856
18 200828
19 200811
20 20052

About Kunal Saigal

Kunal Saigal is a scholar working on Cancer Research, Radiation, Obstetrics and Gynecology, Oncology and Pathology and Forensic Medicine, having authored 23 papers that have together received 324 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (4 papers), Advanced Radiotherapy Techniques (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cancer Risks and Factors (2 papers), Brain Metastases and Treatment (2 papers), Glioma Diagnosis and Treatment (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cancer Research (142 citations), Radiation (60 citations), Otorhinolaryngology (23 citations), Oncology (124 citations) and Pathology and Forensic Medicine (59 citations). Kunal Saigal has collaborated with scholars based in United States, Malaysia and Poland. Frequent co-authors include Zhong Chen, Isildinha M. Reis, Carter Van Waes, Clint Allen, Cristiane Takita, Pattatheyil Arun, Liesl Nottingham, Judith Hurley, Arnold M. Markoe and Jean L. Wright. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Brachytherapy, Clinical Cancer Research, Journal of Clinical Oncology and Cancer.

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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