Mahak Singhal

1.5k citations
18 papers · 917 · h-index 14

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • Angiogenesis and VEGF in Cancer 5
    • Cancer Cells and Metastasis 3
    • Pancreatic and Hepatic Oncology Research 2

Mahak Singhal

18 papers receiving 912 citations

Peers

Mahak Singhal
Comparison fields: 5 of 72
  • Cancer Research 276
  • Oncology 295
  • Molecular Biology 466
  • Immunology 118
  • Immunology and Allergy 29
Replace Kwang‐Yu Chang with:
Kwang‐Yu Chang Taiwan
Keren Levanon Israel
Eloïse M. Grasset France
Chun‐Peng Liao United States
Daniëlle Raats Netherlands
Katrin E. Tagscherer Germany
Jichao Qin China
Christine Mehner United States
Ren Zhao China
Rei Mizuno Japan
Mahak Singhal relative to Kwang‐Yu Chang Taiwan Kwang‐Yu Chang's profile →
Citations per field
00.5×1.5×
Kwang‐Yu Chang · 1×
Citations per year

Countries citing papers authored by Mahak Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Mahak Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017215
2 2017213
3 202195
4 201874
5 201449
6 202145
7 201637
8 202031
9 201930
10 201829
11 202023
12 202020
13 202014
14 202313
15 201612
16 20168
17 20237
18 20252

About Mahak Singhal

Mahak Singhal is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Biotechnology, having authored 18 papers that have together received 917 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (3 papers), Liver physiology and pathology (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Research and Treatments (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Cancer Research (276 citations), Oncology (295 citations), Molecular Biology (466 citations), Immunology (118 citations) and Immunology and Allergy (29 citations). Mahak Singhal has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Hellmut G. Augustin, Nicolas Gengenbacher, Stephan Herzig, Karin Müller‐Decker, Marcos Ríos García, Adriano Maida, Brigitte Steinbauer, Holger Hess‐Stumpp, Frits Mattijssen and Peter P. Nawroth. Their work appears in journals such as The Journal of Experimental Medicine, Cancer Research, Oncogene, Med and Cancer Discovery.

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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