Suraj Kumar

22 papers receiving 272 citations

Peers

Suraj Kumar
Comparison fields: 5 of 105
  • Modeling and Simulation 25
  • Water Science and Technology 42
  • Environmental Engineering 41
  • Cognitive Neuroscience 46
  • Global and Planetary Change 48
Replace Andrea Tateo with:
Andrea Tateo Italy
Maurice Abou Jaoude United States
Raghav Saboo United States
Mohammad Hadi Fattahi Iran
Subhasis Ray India
Bonan Li United States
Antonio Canale Italy
M. Miklin Halstead New Zealand
Mingyang Li China
Xu He China
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Suraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Suraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 201948
3 202338
4 202026
5 202024
6 202219
7 202115
8 20239
9 20248
10 20218
11 20257
12 20175
13 20163
14 20243
15 20213
16
Influence of different summer green manures on rice -wheat yield, nutrient uptake and soil characteristics
20102
17
Optical microscopy methods for understanding learning and memory
20132
18
Structural and histochemical study of the subcommissural organ in sheep
20021
19
THE CYTOLOGIC DEMONSTRATION OF CERTAIN ENZYMES IN SUBCOMMISSURAL ORGAN OF GOAT
19971
20 20231

About Suraj Kumar

Suraj Kumar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Global and Planetary Change, having authored 23 papers that have together received 273 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (4 papers), Hydrology and Drought Analysis (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), Soil and Land Suitability Analysis (1 paper), Inertial Sensor and Navigation (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Modeling and Simulation (25 citations), Water Science and Technology (42 citations), Environmental Engineering (41 citations), Cognitive Neuroscience (46 citations) and Global and Planetary Change (48 citations). Suraj Kumar has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Thendiyath Roshni, Manish Kumar Bajpai, Koushlendra Kumar Singh, Mohammad Ali Ghorbani, J. Balaji, Ercan Kahya, Nityanand Singh Maurya, Alessandra Bonito‐Oliva, Praveen Sethupathy and Priyamvada Rajasethupathy. Their work appears in journals such as Cell, Applied Intelligence, Cell Reports, International Journal of Environmental Research and Public Health and Light Science & Applications.

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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