Benjamin Mwashote

767 total citations
18 papers, 563 citations indexed

About

Benjamin Mwashote is a scholar working on Geochemistry and Petrology, Ecology and Oceanography. According to data from OpenAlex, Benjamin Mwashote has authored 18 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geochemistry and Petrology, 5 papers in Ecology and 4 papers in Oceanography. Recurrent topics in Benjamin Mwashote's work include Groundwater and Isotope Geochemistry (5 papers), Coastal wetland ecosystem dynamics (5 papers) and Muscle Physiology and Disorders (3 papers). Benjamin Mwashote is often cited by papers focused on Groundwater and Isotope Geochemistry (5 papers), Coastal wetland ecosystem dynamics (5 papers) and Muscle Physiology and Disorders (3 papers). Benjamin Mwashote collaborates with scholars based in United States and Kenya. Benjamin Mwashote's co-authors include William C. Burnett, Jeffrey P. Chanton, Isaac R. Santos, Thorsten Dittmar, I Gusti Ngurah Agung Suryaputra, B.O. Ohowa, Natasha Dimova, Richard N. Peterson, Veera L. D. Badisa and Victor Ibeanusi and has published in prestigious journals such as PLoS ONE, Limnology and Oceanography and Marine Pollution Bulletin.

In The Last Decade

Benjamin Mwashote

16 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Mwashote United States 13 227 149 133 124 62 18 563
Faxiang Tao China 13 341 1.5× 179 1.2× 174 1.3× 116 0.9× 131 2.1× 25 708
Wei Wen Wong Australia 11 143 0.6× 133 0.9× 134 1.0× 219 1.8× 58 0.9× 33 413
Takuo Nakajima Japan 12 167 0.7× 378 2.5× 232 1.7× 251 2.0× 56 0.9× 28 627
J. E. Corbett United States 9 88 0.4× 181 1.2× 93 0.7× 376 3.0× 63 1.0× 15 618
Charles A. Schutte United States 12 135 0.6× 157 1.1× 101 0.8× 268 2.2× 55 0.9× 23 447
Virginie Vergnaud-Ayraud France 14 340 1.5× 153 1.0× 33 0.2× 106 0.9× 297 4.8× 19 596
Jiaye Zang China 13 105 0.5× 91 0.6× 202 1.5× 134 1.1× 26 0.4× 45 672
Karina L. Lecomte Argentina 16 280 1.2× 118 0.8× 33 0.2× 84 0.7× 101 1.6× 42 614
Shi Yu China 13 178 0.8× 102 0.7× 127 1.0× 86 0.7× 60 1.0× 47 487
DongJoo Joung United States 15 101 0.4× 195 1.3× 219 1.6× 121 1.0× 16 0.3× 28 646

Countries citing papers authored by Benjamin Mwashote

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Mwashote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Mwashote

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

All Works

18 of 18 papers shown
1.
Martínez-Colón, Michael, et al.. (2025). Estuarine foraminifera as an effective measure of benthic ecological quality status in Jobos Bay, Puerto Rico. Micropaleontology. 71(2). 167–181.
3.
Badisa, Veera L. D., et al.. (2023). Bacillus sp. strain MRS-1: A potential candidate for uranyl biosorption from uranyl polluted sites. Saudi Journal of Biological Sciences. 30(12). 103873–103873. 2 indexed citations
4.
Badisa, Veera L. D., et al.. (2021). Lead metal biosorption and isotherms studies by metal‐resistant Bacillus strain MRS‐2 bacterium. Journal of Basic Microbiology. 61(8). 697–708. 10 indexed citations
5.
Roberts, Michael D., Kaelin C. Young, Carlton D. Fox, et al.. (2020). An optimized procedure for isolation of rodent and human skeletal muscle sarcoplasmic and myofibrillar proteins. Journal of Biological Methods. 7(1). 1–1. 19 indexed citations
6.
Vann, Christopher G., Shelby C. Osburn, Petey W. Mumford, et al.. (2020). Skeletal Muscle Protein Composition Adaptations to 10 Weeks of High-Load Resistance Training in Previously-Trained Males. Frontiers in Physiology. 11. 259–259. 21 indexed citations
7.
Vann, Christopher G., Paul A. Roberson, Shelby C. Osburn, et al.. (2020). Skeletal Muscle Myofibrillar Protein Abundance Is Higher in Resistance-Trained Men, and Aging in the Absence of Training May Have an Opposite Effect. Sports. 8(1). 7–7. 23 indexed citations
8.
Haun, Cody T., Christopher G. Vann, Shelby C. Osburn, et al.. (2019). Muscle fiber hypertrophy in response to 6 weeks of high-volume resistance training in trained young men is largely attributed to sarcoplasmic hypertrophy. PLoS ONE. 14(6). e0215267–e0215267. 65 indexed citations
9.
Mwashote, Benjamin, et al.. (2012). Submarine groundwater discharge in the Sarasota Bay system: Its assessment and implications for the nearshore coastal environment. Continental Shelf Research. 53. 63–76. 16 indexed citations
10.
Santos, Isaac R., Natasha Dimova, Richard N. Peterson, et al.. (2009). Extended time series measurements of submarine groundwater discharge tracers (222Rn and CH4) at a coastal site in Florida. Marine Chemistry. 113(1-2). 137–147. 80 indexed citations
11.
Mwashote, Benjamin, William C. Burnett, Jeffrey P. Chanton, et al.. (2009). Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements. Estuarine Coastal and Shelf Science. 87(1). 1–10. 11 indexed citations
12.
Santos, Isaac R., William C. Burnett, Jeffrey P. Chanton, et al.. (2008). Nutrient biogeochemistry in a Gulf of Mexico subterranean estuary and groundwater‐derived fluxes to the coastal ocean. Limnology and Oceanography. 53(2). 705–718. 185 indexed citations
13.
Mwashote, Benjamin, et al.. (2005). Spatial and Temporal Distribution of Dissolved Inorganic Nutrients and Phytoplankton in Mida Creek, Kenya. Wetlands Ecology and Management. 13(6). 599–614. 12 indexed citations
14.
Mwashote, Benjamin. (2004). Levels of Cadmium and Lead in Water, Sediments and Selected Fish Species in Mombasa, Kenya. Western Indian Ocean Journal of Marine Science. 2(1). 36 indexed citations
15.
Mwashote, Benjamin, et al.. (2002). Quantitative aspects of inorganic nutrient fluxes in the Gazi Bay (Kenya): implications for coastal ecosystems. Marine Pollution Bulletin. 44(11). 1194–1205. 17 indexed citations
16.
Kitheka, Johnson U., Benjamin Mwashote, B.O. Ohowa, & Joseph Nyingi Kamau. (1999). Water circulation, groundwater outflow and nutrient dynamics in Mida creek, Kenya. 3(3). 135–146. 17 indexed citations
17.
Ohowa, B.O., et al.. (1997). Dissolved Inorganic Nutrient Fluxes from Two Seasonal Rivers into Gazi Bay, Kenya. Estuarine Coastal and Shelf Science. 45(2). 189–195. 19 indexed citations
18.
Kitheka, Johnson U., et al.. (1996). Water circulation dynamics, water column nutrients and plankton productivity in a well-flushed tropical bay in Kenya. Journal of Sea Research. 35(4). 257–268. 30 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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