Sushil Kumar

5.3k citations
67 papers · 3.5k · 1 hit paper · h-index 22

Impact in

Papers in

    • Plant tissue culture and regeneration 8
    • Natural product bioactivities and synthesis 5
    • Cancer Cells and Metastasis 3

Sushil Kumar

66 papers receiving 3.4k citations

Sushil Kumar's Hit Papers

Combination therapy in combating cancer 2017 · 1.8k citations
1.8k0+3+6Years since publication50010001.5k

Peers

Sushil Kumar
Comparison fields: 5 of 135
  • Molecular Medicine 176
  • Cancer Research 479
  • Oncology 721
  • Molecular Biology 1.7k
  • Pharmacology 176
Replace Zhi Shi with:
Zhi Shi China
Takahiro Seki Japan
Renata Kontek Poland
A.R.M. Ruhul Amin United States
Xian‐Jun Qu China
Mateusz Kciuk Poland
Amareshwar T.K. Singh United States
Chanakya Nath Kundu India
Sibaji Sarkar United States
Reza Bayat Mokhtari Canada
Sushil Kumar relative to Zhi Shi China Zhi Shi's profile →
Citations per field
00.5×1.5×2.0×
Zhi Shi · 1×
Citations per year

Countries citing papers authored by Sushil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Combination therapy in combating cancer
Hit paper breakdown →
20171847
2 2012222
3 1999104
4 2017102
5 200977
6 201167
7 200364
8 201358
9 201857
10 200149
11 201348
12 200048
13 201944
14 201639
15 199939
16 200137
17 201734
18 199833
19 200032
20 201525

About Sushil Kumar

Sushil Kumar is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Immunology, having authored 67 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Essential Oils and Antimicrobial Activity (6 papers), Neuroblastoma Research and Treatments (5 papers), Natural product bioactivities and synthesis (5 papers), Cancer Cells and Metastasis (3 papers), Phytochemistry and Biological Activities (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Molecular Medicine (176 citations), Cancer Research (479 citations), Oncology (721 citations), Molecular Biology (1.7k citations) and Pharmacology (176 citations). Sushil Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Reza Bayat Mokhtari, Herman Yeger, Narges Baluch, Tina S. Homayouni, Bikul Das, Madan M. Gupta, Verena Tischler, Reto A. Schwendener, Alex Soltermann and A. Gupta. Their work appears in journals such as Clinical Cancer Research, BMC Cancer, Flavour and Fragrance Journal, Cancers and Cancer Research.

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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