Shefali Agarwal

5.2k citations
48 papers · 1.2k indexed · h-index 20

Impact in

Papers in

Shefali Agarwal

46 papers receiving 1.2k citations

Peers

Shefali Agarwal
Comparison fields: 5 of 99
  • Anesthesiology and Pain Medicine 160
  • Immunology and Allergy 141
  • Dermatology 173
  • Oncology 412
  • Reproductive Medicine 127
Replace Hiroshi Sunaga with:
Hiroshi Sunaga Japan
Yasuaki Hirooka Japan
R Carpenter United Kingdom
Hideaki Miyauchi Japan
Bassam Mattar United States
Agnieszka Bojarska−Junak Poland
Chang‐Yeol Yim South Korea
J Rabczyński Poland
Patrizia Mondello Italy
Shefali Agarwal relative to Hiroshi Sunaga Japan Hiroshi Sunaga's profile →
Citations per field
00.5×10×20×25.4×
Hiroshi Sunaga · 1×
Citations per year

Countries citing papers authored by Shefali Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shefali Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202012
3 201887
4 20178
5 201745
6 201730
7 20177
8 20170
9
Solid Pseudo-Papillary Neoplasm of Pancreas: An Unusual Presentation and Management
20161
10 20167
11 201430
12 20148
13 201321
14 20132
15 201168
16 200938
17 200881
18 200773
19 200627
20 2002176

About Shefali Agarwal

Shefali Agarwal is a scholar working on Reproductive Medicine, Oncology, Anesthesiology and Pain Medicine, Hepatology and Genetics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (17 papers), Ovarian cancer diagnosis and treatment (9 papers), Chronic Lymphocytic Leukemia Research (4 papers), BRCA gene mutations in cancer (4 papers), Liver physiology and pathology (4 papers), Pain Mechanisms and Treatments (4 papers), DNA Repair Mechanisms (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (160 citations), Immunology and Allergy (141 citations), Dermatology (173 citations), Oncology (412 citations) and Reproductive Medicine (127 citations). Shefali Agarwal has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Srinivasa N. Raja, Jennifer A. Haythornthwaite, I. Ahmed, Anita Takwale, E.Z.Z. Tan, G R Barclay, R.A.C. GRAHAM-BROWN, J. Berth‐Jones, Brian M. Block and Christopher L. Wu. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, The Lancet Oncology and Hematological Oncology.

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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