Indira Chatterjee

742 total citations
44 papers, 574 citations indexed

About

Indira Chatterjee is a scholar working on Biomedical Engineering, Biotechnology and Biophysics. According to data from OpenAlex, Indira Chatterjee has authored 44 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 10 papers in Biotechnology and 9 papers in Biophysics. Recurrent topics in Indira Chatterjee's work include Microbial Inactivation Methods (10 papers), Electromagnetic Fields and Biological Effects (9 papers) and Neuroscience and Neural Engineering (8 papers). Indira Chatterjee is often cited by papers focused on Microbial Inactivation Methods (10 papers), Electromagnetic Fields and Biological Effects (9 papers) and Neuroscience and Neural Engineering (8 papers). Indira Chatterjee collaborates with scholars based in United States, India and Egypt. Indira Chatterjee's co-authors include Gale L. Craviso, O.P. Gandhi, P. Thomas Vernier, Paroma Chatterjee, Nelson G. Publicover, Normand Leblanc, Jihwan Yoon, Joseph L. Roti Roti, Karsten Witt and Gordon K. Livingston and has published in prestigious journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - Biomembranes and Corrosion Science.

In The Last Decade

Indira Chatterjee

36 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indira Chatterjee United States 14 258 230 166 136 129 44 574
Agnese Denzi Italy 13 361 1.4× 290 1.3× 118 0.7× 71 0.5× 64 0.5× 32 542
Delia Arnaud‐Cormos France 18 396 1.5× 392 1.7× 143 0.9× 76 0.6× 97 0.8× 69 723
Christian W. Zemlin United States 18 185 0.7× 222 1.0× 27 0.2× 196 1.4× 136 1.1× 49 762
Tatyana Polyakova Czechia 12 152 0.6× 34 0.1× 117 0.7× 90 0.7× 34 0.3× 28 521
Maura Casciola United States 21 513 2.0× 726 3.2× 56 0.3× 273 2.0× 222 1.7× 41 983
Ling‐Sheng Jang Taiwan 18 828 3.2× 63 0.3× 57 0.3× 99 0.7× 78 0.6× 47 1.0k
Sergii Romanenko Australia 8 78 0.3× 58 0.3× 80 0.5× 64 0.5× 69 0.5× 18 259
Q. Hu United States 17 636 2.5× 700 3.0× 33 0.2× 126 0.9× 100 0.8× 38 903
Iurii Semenov United States 25 799 3.1× 1.2k 5.4× 78 0.5× 469 3.4× 342 2.7× 52 1.7k
Borja Mercadal Spain 11 143 0.6× 197 0.9× 18 0.1× 35 0.3× 45 0.3× 25 328

Countries citing papers authored by Indira Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Indira Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indira Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Indira Chatterjee. A scholar is included among the top collaborators of Indira Chatterjee 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 Indira Chatterjee. Indira Chatterjee 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.
Chatterjee, Indira, et al.. (2024). Interest-Driven Major Pathways for Mid-Program Undergraduate Engineering Students. Papers on Engineering Education Repository (American Society for Engineering Education).
2.
3.
Robinson, Timothy J., Adam Kirn, Jennifer Amos, & Indira Chatterjee. (2019). Influencing student engineering interest and identity: A study investigating the effect of engineering summer camps on middle and high school students (work in progress). 1 indexed citations
4.
Chatterjee, Indira, Tim Robinson, Adam Kirn, & Jennifer Amos. (2019). Progress on a mixed methods research project studying interest and identity of participants engaged in engineering camp activities: Methods and preliminary results. 1 indexed citations
5.
Chatterjee, Indira, et al.. (2019). Ultrashort nanosecond electric pulses evoke heterogeneous patterns of Ca2+ release from the endoplasmic reticulum of adrenal chromaffin cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(6). 1180–1188. 7 indexed citations
6.
Chatterjee, Indira, Adam Kirn, & Jennifer Amos. (2018). The effect of engineering summer camps on middle school students interest and identity.
7.
8.
Yang, Lisha, Gale L. Craviso, P. Thomas Vernier, Indira Chatterjee, & Normand Leblanc. (2017). Nanosecond electric pulses differentially affect inward and outward currents in patch clamped adrenal chromaffin cells. PLoS ONE. 12(7). e0181002–e0181002. 19 indexed citations
9.
Yoon, Jihwan, et al.. (2016). Enhanced Monitoring of Nanosecond Electric Pulse-Evoked Membrane Conductance Changes in Whole-Cell Patch Clamp Experiments. The Journal of Membrane Biology. 249(5). 633–644. 16 indexed citations
10.
Craviso, Gale L., et al.. (2014). Adrenal chromaffin cells do not swell when exposed to nanosecond electric pulses. Bioelectrochemistry. 103. 98–102. 10 indexed citations
11.
Craviso, Gale L., et al.. (2010). Nanosecond Electric Pulses: A Novel Stimulus for Triggering Ca2+ Influx into Chromaffin Cells Via Voltage-Gated Ca2+ Channels. Cellular and Molecular Neurobiology. 30(8). 1259–1265. 88 indexed citations
12.
Chatterjee, Indira & Gale L. Craviso. (2004). Expanding Current Research Capabilities for Investigating RF/Microwave Bioeffects. Defense Technical Information Center (DTIC).
13.
Craviso, Gale L., Indira Chatterjee, & Nelson G. Publicover. (2003). Catecholamine release from cultured bovine adrenal medullary chromaffin cells in the presence of 60-Hz magnetic fields. Bioelectrochemistry. 59(1-2). 57–64. 11 indexed citations
14.
Chatterjee, Indira, et al.. (2003). Numerical study of induced current perturbations in the vicinity of excitable cells exposed to extremely low frequency magnetic fields. Physics in Medicine and Biology. 48(20). 3277–3293. 7 indexed citations
15.
Craviso, Gale L., et al.. (2002). Intracellular calcium activity in isolated bovine adrenal chromaffin cells in the presence and absence of 60 Hz magnetic fields. Bioelectromagnetics. 23(8). 557–567. 22 indexed citations
16.
Chatterjee, Indira, et al.. (1994). Finite element thermal modelling of the human body under hyperthermia treatment for cancer. International Journal of Computer Applications in Technology. 7(3/4/5/6). 151–159. 19 indexed citations
17.
18.
Chatterjee, Indira. (1992). Numerical Modelling of the Human Body under Electromagnetic Exposure—A Review. IETE Journal of Research. 38(5). 283–289. 1 indexed citations
19.
Livingston, Gordon K., Karsten Witt, O.P. Gandhi, et al.. (1991). Reproductive integrity of mammalian cells exposed to power frequency electromagnetic fields. Environmental and Molecular Mutagenesis. 17(1). 49–58. 61 indexed citations
20.
Chatterjee, Indira, et al.. (1986). Human Body Impedance and Threshold Currents for Perception and Pain for Contact Hazard Analysis in the VLF-MF Band. IEEE Transactions on Biomedical Engineering. BME-33(5). 486–494. 67 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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