Sushil Kumar

162 papers receiving 1.9k citations

Peers

Sushil Kumar
Comparison fields: 5 of 147
  • Pulmonary and Respiratory Medicine 459
  • Cancer Research 193
  • Microbiology 66
  • Orthodontics 36
  • Biochemistry 52
Replace Roberta Visconti with:
Roberta Visconti Italy
Tao Hong China
Yili Wang China
Xinyi Li China
Stephen Hatfield United States
Yun‐Jung Choi South Korea
Belinda Nedjai United Kingdom
Jing Qian China
Joanne K. Tobacman United States
Sushil Kumar relative to Roberta Visconti Italy Roberta Visconti's profile →
Citations per field
00.5×2.8×
Roberta Visconti · 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 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017198
2 201990
3 201986
4 201378
5 201173
6 201773
7 200767
8 201459
9 201957
10 200956
11 201646
12 201441
13 201240
14 201434
15 202132
16 202132
17 198932
18 200931
19 200728
20 201127

About Sushil Kumar

Sushil Kumar is a scholar working on Surgery, Plant Science, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 173 papers that have together received 2.0k indexed citations. Recurring topics across this work include Agricultural pest management studies (12 papers), Pulmonary Hypertension Research and Treatments (9 papers), Cerebrospinal fluid and hydrocephalus (9 papers), Neurofibromatosis and Schwannoma Cases (9 papers), Meningioma and schwannoma management (9 papers), Spinal Dysraphism and Malformations (7 papers), Teratomas and Epidermoid Cysts (7 papers) and Agricultural Practices and Plant Genetics (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (459 citations), Cancer Research (193 citations), Microbiology (66 citations), Orthodontics (36 citations) and Biochemistry (52 citations). Sushil Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kurt R. Stenmark, Rajesh Agarwal, Komal Raina, Maria G. Frid, Chapla Agarwal, Suzette Riddle, B.A. McKeon, V. K. Dixit, Karim C. El Kasmi and Brian B. Graham. Their work appears in journals such as Cancer Research, Frontiers in Immunology, Carcinogenesis, American Journal of Respiratory and Critical Care Medicine and American Journal of Respiratory Cell and Molecular Biology.

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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