Pandeeswar Makam

2.5k citations
30 papers · 2.1k · 1 hit paper · h-index 20

Impact in

Papers in

Pandeeswar Makam

28 papers receiving 2.1k citations

Pandeeswar Makam's Hit Papers

Self-assembling peptide semiconductors 2017 · 413 citations
4130+3+6Years since publication100200300400

Peers

Pandeeswar Makam
Comparison fields: 5 of 93
  • Biomaterials 1.2k
  • Organic Chemistry 649
  • Microbiology 123
  • Materials Chemistry 725
  • Molecular Biology 890
Replace Santu Bera with:
Santu Bera India
Jayanta Nanda India
Debasish Haldar India
Bimalendu Adhikari India
Asish Pal India
Jaclyn Raeburn United Kingdom
One‐Sun Lee United States
Rita De Zorzi Italy
Shibaji Basak India
Manuel Amorín Spain
Pandeeswar Makam relative to Santu Bera India Santu Bera's profile →
Citations per field
00.5×3.4×
Santu Bera · 1×
Citations per year

Countries citing papers authored by Pandeeswar Makam

Since Specialization
Citations

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

Fields of papers citing papers by Pandeeswar Makam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Self-assembling peptide semiconductors
Hit paper breakdown →
2017413
2 2018277
3 2019182
4 2017165
5 2022148
6 2018142
7 201689
8 202187
9 202085
10 202184
11 201980
12 202073
13 202044
14 202038
15 202132
16 201831
17 202128
18 201821
19 202021
20 202020

About Pandeeswar Makam

Pandeeswar Makam is a scholar working on Biomaterials, Molecular Biology, Materials Chemistry, Organic Chemistry and Biomedical Engineering, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (16 papers), Advanced biosensing and bioanalysis techniques (9 papers), Polydiacetylene-based materials and applications (8 papers), Luminescence and Fluorescent Materials (7 papers), Advanced Nanomaterials in Catalysis (5 papers), Molecular Sensors and Ion Detection (4 papers), Electrochemical sensors and biosensors (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Biomaterials (1.2k citations), Organic Chemistry (649 citations), Microbiology (123 citations), Materials Chemistry (725 citations) and Molecular Biology (890 citations). Pandeeswar Makam has collaborated with scholars based in Israel, India and United States. Frequent co-authors include Ehud Gazit, Kai Tao, Ruth Aizen, Linda J. W. Shimon, Thimmaiah Govindaraju, Sharma S. R. K. C. Yamijala, Bryan M. Wong, Sigal Rencus‐Lazar, Chilakapati Madhu and Venkata Srinu Bhadram. Their work appears in journals such as ACS Nano, Nature Communications, Advanced Functional Materials, Chemical Society Reviews and Journal of the American Chemical Society.

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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