Amit K. Saha

481 total citations
13 papers, 365 citations indexed

About

Amit K. Saha is a scholar working on Pulmonary and Respiratory Medicine, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Amit K. Saha has authored 13 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Cell Biology and 3 papers in Immunology and Allergy. Recurrent topics in Amit K. Saha's work include Blood properties and coagulation (3 papers), Cell Adhesion Molecules Research (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). Amit K. Saha is often cited by papers focused on Blood properties and coagulation (3 papers), Cell Adhesion Molecules Research (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). Amit K. Saha collaborates with scholars based in United States. Amit K. Saha's co-authors include Ronald W. Davis, Anand K. Ramasubramanian, Soutik Betal, Eduardo Ortega, A. S. Bhalla, Ruyan Guo, Shatha F. Dallo, Paweł A. Osmulski, Mohsen Nemat‐Gorgani and Tim H.‐M. Huang and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Amit K. Saha

12 papers receiving 357 citations

Peers

Amit K. Saha

BE

MB

ID

EEE

PRM

Xiaohu Zhao China

Leonel Torres United States

Nikita S. Iyer United States

Kiana Aran United States

Justin Chen United States

Yuto Tanaka Japan

Yidan Tang China

Zoe Swank United States

Jessica Webber United States

Xiaohu Zhao China

Amit K. Saha

187 ×0.9

BE

223 ×2.2

MB

44 ×0.8

ID

28 ×0.7

EEE

63 ×2.2

PRM

Citations per year, relative to Amit K. Saha Amit K. Saha (= 1×) peers Xiaohu Zhao

Countries citing papers authored by Amit K. Saha

Since Specialization

Citations

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

Fields of papers citing papers by Amit K. Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit K. Saha. 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 Amit K. Saha. The network helps show where Amit K. Saha may publish in the future.

Co-authorship network of co-authors of Amit K. Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Amit K. Saha. A scholar is included among the top collaborators of Amit K. Saha 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 Amit K. Saha. Amit K. Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Agarwal, Poonam, et al.. (2021). Global survey-based assessment of lifestyle changes during the COVID-19 pandemic. PLoS ONE. 16(8). e0255399–e0255399. 4 indexed citations

2.

Davis, Ronald W., et al.. (2021). Microfluidic Point-of-Care Testing: Commercial Landscape and Future Directions. Frontiers in Bioengineering and Biotechnology. 8. 602659–602659. 193 indexed citations

3.

Kumar, Arun, et al.. (2020). Automated Motion Tracking and Data Extraction for Red Blood Cell Biomechanics. Current Protocols in Cytometry. 93(1). e75–e75. 9 indexed citations

4.

Saha, Amit K., Julie Wilhelmy, Vineeth Chandran Suja, et al.. (2019). Altered Erythrocyte Biophysical Properties in Chronic Fatigue Syndrome. Biophysical Journal. 116(3). 122a–122a.

5.

Lee, Sang-Joon John, et al.. (2019). Image-based analysis and simulation of the effect of platelet storage temperature on clot mechanics under uniaxial strain. Biomechanics and Modeling in Mechanobiology. 19(1). 173–187. 3 indexed citations

6.

Saha, Amit K., et al.. (2019). Design Considerations and Assays for Hemocompatibility of FDA-Approved Nanoparticles. Seminars in Thrombosis and Hemostasis. 46(5). 637–652. 13 indexed citations

7.

Betal, Soutik, Amit K. Saha, Eduardo Ortega, et al.. (2018). Core-shell magnetoelectric nanorobot – A remotely controlled probe for targeted cell manipulation. Scientific Reports. 8(1). 1755–1755. 54 indexed citations

8.

Saha, Amit K., et al.. (2018). Red blood cell deformability is diminished in patients with Chronic Fatigue Syndrome. Clinical Hemorheology and Microcirculation. 71(1). 113–116. 39 indexed citations

9.

Saha, Amit K., Julie Wilhelmy, Vineeth Chandran Suja, et al.. (2018). Erythrocyte Deformability As a Potential Biomarker for Chronic Fatigue Syndrome. Blood. 132(Supplement 1). 4874–4874. 8 indexed citations

10.

Saha, Amit K., et al.. (2018). Abstract 157: Micromechanics of Blood Clots. Arteriosclerosis Thrombosis and Vascular Biology. 38(Suppl_1). 1 indexed citations

11.

Saha, Amit K., et al.. (2017). Influence of membrane cholesterol on monocyte chemotaxis. Cellular Immunology. 324. 74–77. 7 indexed citations

12.

Saha, Amit K., Paweł A. Osmulski, Shatha F. Dallo, et al.. (2017). Cholesterol Regulates Monocyte Rolling through CD44 Distribution. Biophysical Journal. 112(7). 1481–1488. 21 indexed citations

13.

Saha, Amit K., Shatha F. Dallo, Paweł A. Osmulski, et al.. (2016). Cellular cholesterol regulates monocyte deformation. Journal of Biomechanics. 52. 83–88. 13 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.

Explore authors with similar magnitude of impact