Akshat Saxena

5.9k citations
124 papers · 4.3k indexed · 1 hit paper · h-index 37

Akshat Saxena

119 papers receiving 4.2k citations

Hit Papers

Should the Treatment of Peritoneal Carcinomatosis by Cyto...4122009202620142020100200300400

Peers

Akshat Saxena
Comparison fields: 5 of 126
  • Hepatology 933
  • Emergency Medicine 772
  • Surgery 2.4k
  • Oncology 1.3k
  • Reproductive Medicine 410
Replace Michelle Oliveira with:
Michelle Oliveira Switzerland
Robert Padbury Australia
Timothy W.I. Clark United States
Mitchell Tublin United States
Matthew A. Mauro United States
Tristan D. Yan Australia
Pierre‐Emmanuel Falcoz France
Erick M. Remer United States
Joel F. Platt United States
Gary M. Israel United States
Akshat Saxena relative to Michelle Oliveira Switzerland Michelle Oliveira's profile →
Citations per field
00.5×1.7×
Michelle Oliveira · 1×
Citations per year

Countries citing papers authored by Akshat Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Akshat Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20220
4 20221
5 20191
6 20179
7 201612
8 201516
9 201516
10 201357
11 201299
12 201221
13 201211
14 201118
15 201163
16 201171
17 201011
18 201015
19 201023
20 2009104

About Akshat Saxena

Akshat Saxena is a scholar working on Hepatology, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 124 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (29 papers), Intraperitoneal and Appendiceal Malignancies (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Cardiac, Anesthesia and Surgical Outcomes (21 papers), Appendicitis Diagnosis and Management (21 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers), Colorectal Cancer Treatments and Studies (11 papers) and Ovarian cancer diagnosis and treatment (11 papers). The work is most often cited by research in Hepatology (933 citations), Emergency Medicine (772 citations) and Surgery (2.4k citations). Akshat Saxena has collaborated with scholars based in Australia, United States and India. Frequent co-authors include David L. Morris, Terence C. Chua, Leonard Shan, Tristan D. Yan, Francis Chu, Winston Liauw, Lourens Bester, Andrew Newcomb, Ashvin Paramanathan and Julian A. Smith. Their work appears in journals such as Circulation, 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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