Ankur Gautam

6.2k total citations · 2 hit papers
47 papers, 4.7k citations indexed

About

Ankur Gautam is a scholar working on Molecular Biology, Microbiology and Computational Theory and Mathematics. According to data from OpenAlex, Ankur Gautam has authored 47 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Microbiology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Ankur Gautam's work include Antimicrobial Peptides and Activities (15 papers), vaccines and immunoinformatics approaches (12 papers) and Computational Drug Discovery Methods (9 papers). Ankur Gautam is often cited by papers focused on Antimicrobial Peptides and Activities (15 papers), vaccines and immunoinformatics approaches (12 papers) and Computational Drug Discovery Methods (9 papers). Ankur Gautam collaborates with scholars based in India and United States. Ankur Gautam's co-authors include Gajendra P. S. Raghava, Kumardeep Chaudhary, Rahul Kumar, Pallavi Kapoor, Sudheer Gupta, Sandeep Singh, Atul Tyagi, Salman Sadullah Usmani, Deepika Mathur and Abhishek Tuknait and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ankur Gautam

41 papers receiving 4.6k citations

Hit Papers

In Silico Approach for Predicting Toxicity of Peptides an... 2013 2026 2017 2021 2013 2017 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ankur Gautam India 25 4.1k 1.3k 539 530 524 47 4.7k
Sudheer Gupta India 20 2.6k 0.6× 490 0.4× 539 1.0× 479 0.9× 272 0.5× 43 3.1k
Pallavi Kapoor India 10 2.4k 0.6× 613 0.5× 417 0.8× 358 0.7× 247 0.5× 12 2.6k
Markus Wiederstein Austria 15 3.6k 0.9× 233 0.2× 487 0.9× 598 1.1× 499 1.0× 22 5.1k
Sandeep Singh India 23 2.6k 0.6× 861 0.7× 225 0.4× 262 0.5× 401 0.8× 49 3.0k
Mikael Elofsson Sweden 36 3.0k 0.7× 558 0.4× 163 0.3× 518 1.0× 85 0.2× 132 5.3k
Ivan Dimitrov Bulgaria 20 2.2k 0.5× 195 0.1× 716 1.3× 628 1.2× 173 0.3× 60 2.8k
Sudipto Saha India 22 2.8k 0.7× 181 0.1× 753 1.4× 641 1.2× 178 0.3× 86 3.5k
Andréa Dessen France 47 3.9k 0.9× 435 0.3× 506 0.9× 1.1k 2.0× 209 0.4× 119 8.2k
Marcelo D. T. Torres United States 34 2.4k 0.6× 2.0k 1.6× 96 0.2× 324 0.6× 120 0.2× 94 3.8k
Sandeep Kumar Dhanda United States 22 3.3k 0.8× 316 0.2× 1.1k 2.1× 1.4k 2.7× 191 0.4× 54 4.1k

Countries citing papers authored by Ankur Gautam

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Gautam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Gautam

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Gautam. A scholar is included among the top collaborators of Ankur Gautam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankur Gautam. Ankur Gautam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gautam, Ankur. (2019). Implementation of RFID Application in Indian Institute of Technology, Kanpur.. 9(1). 21–28.
2.
Gautam, Ankur, et al.. (2018). Pyramidal Horn Antenna for S-band Application. Journal of Emerging Technologies and Innovative Research. 5(2). 1088-1091–1088-1091.
3.
Baindara, Piyush, Ankur Gautam, Gajendra P. S. Raghava, & Suresh Korpole. (2017). Anticancer properties of a defensin like class IId bacteriocin Laterosporulin10. Scientific Reports. 7(1). 46541–46541. 98 indexed citations
4.
Gupta, Sudheer, Kumardeep Chaudhary, Rahul Kumar, et al.. (2016). Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine. Scientific Reports. 6(1). 23857–23857. 46 indexed citations
5.
Chaudhary, Kumardeep, Ritesh Kumar, Sandeep Singh, et al.. (2016). A Web Server and Mobile App for Computing Hemolytic Potency of Peptides. Scientific Reports. 6(1). 22843–22843. 178 indexed citations
6.
Gautam, Ankur, Minakshi Sharma, Rakesh Bhatia, et al.. (2016). Cell-penetrating peptide and antibiotic combination therapy: a potential alternative to combat drug resistance in methicillin-resistant Staphylococcus aureus. Applied Microbiology and Biotechnology. 100(9). 4073–4083. 20 indexed citations
7.
Singh, Sandeep, Kumardeep Chaudhary, Sandeep Kumar Dhanda, et al.. (2015). SATPdb: a database of structurally annotated therapeutic peptides. Nucleic Acids Research. 44(D1). D1119–D1126. 169 indexed citations
8.
Gautam, Ankur, Kumardeep Chaudhary, Rahul Kumar, & Gajendra P. S. Raghava. (2015). Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides. Methods in molecular biology. 1324. 59–69. 67 indexed citations
9.
Agrawal, Piyush, Sherry Bhalla, Salman Sadullah Usmani, et al.. (2015). CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides. Nucleic Acids Research. 44(D1). D1098–D1103. 259 indexed citations
10.
Gupta, Sudheer, Pallavi Kapoor, Kumardeep Chaudhary, et al.. (2014). Peptide Toxicity Prediction. Methods in molecular biology. 1268. 143–157. 172 indexed citations
11.
Kumar, Ravi, Kumardeep Chaudhary, Minakshi Sharma, et al.. (2014). AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides. Nucleic Acids Research. 43(D1). D956–D962. 171 indexed citations
12.
Gautam, Ankur, Kumardeep Chaudhary, Rahul Kumar, et al.. (2013). In silico approaches for designing highly effective cell penetrating peptides. Journal of Translational Medicine. 11(1). 74–74. 248 indexed citations
13.
Kumar, Rahul, Kumardeep Chaudhary, Sudheer Gupta, et al.. (2013). CancerDR: Cancer Drug Resistance Database. Scientific Reports. 3(1). 1445–1445. 94 indexed citations
14.
Tyagi, Atul, Pallavi Kapoor, Rahul Kumar, et al.. (2013). In Silico Models for Designing and Discovering Novel Anticancer Peptides. Scientific Reports. 3(1). 2984–2984. 258 indexed citations
15.
Gupta, Sudheer, Hifzur Rahman Ansari, Ankur Gautam, & Gajendra P. S. Raghava. (2013). Identification of B-cell epitopes in an antigen for inducing specific class of antibodies. Biology Direct. 8(1). 27–27. 97 indexed citations
16.
Gautam, Ankur, Kumardeep Chaudhary, Sandeep Singh, et al.. (2013). Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides. Nucleic Acids Research. 42(D1). D444–D449. 123 indexed citations
17.
Gupta, Sudheer, Pallavi Kapoor, Kumardeep Chaudhary, et al.. (2013). In Silico Approach for Predicting Toxicity of Peptides and Proteins. PLoS ONE. 8(9). e73957–e73957. 1409 indexed citations breakdown →
18.
Kapoor, Pallavi, Harinder Singh, Ankur Gautam, et al.. (2012). TumorHoPe: A Database of Tumor Homing Peptides. PLoS ONE. 7(4). e35187–e35187. 114 indexed citations
19.
Tewari, Rupinder, et al.. (2012). Immunological characterization of recombinant Salmonella enterica serovar Typhi FliC protein expressed in Escherichia coli. AMB Express. 2(1). 55–55. 6 indexed citations
20.
Kaul, Deepak, Ankur Gautam, & Kavleen Sikand. (2006). Importance of LXR-α transcriptome in the modulation of innate immunity. Molecular and Cellular Biochemistry. 292(1-2). 53–57. 11 indexed citations

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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