Arkadiusz R. Raczynski

454 total citations
7 papers, 369 citations indexed

About

Arkadiusz R. Raczynski is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Arkadiusz R. Raczynski has authored 7 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Arkadiusz R. Raczynski's work include Gastric Cancer Management and Outcomes (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Arkadiusz R. Raczynski is often cited by papers focused on Gastric Cancer Management and Outcomes (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Arkadiusz R. Raczynski collaborates with scholars based in United States, India and Germany. Arkadiusz R. Raczynski's co-authors include James G. Fox, Steven R. Tannenbaum, Rebecca C. Fry, Peter C. Dedon, David B. Schauer, John M. Essigmann, Matthew L. Williams, José L. McFaline‐Figueroa, A. B. Rogers and Stanley M. Lemon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Gut.

In The Last Decade

Arkadiusz R. Raczynski

6 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arkadiusz R. Raczynski United States 4 193 106 90 75 58 7 369
Chakib Boussahmain United States 7 139 0.7× 84 0.8× 73 0.8× 64 0.9× 127 2.2× 8 364
Mei Lan Chen United States 5 206 1.1× 85 0.8× 81 0.9× 101 1.3× 129 2.2× 7 439
Michihide Uo Japan 5 216 1.1× 104 1.0× 95 1.1× 112 1.5× 109 1.9× 6 496
Yingfei Li China 12 247 1.3× 51 0.5× 53 0.6× 44 0.6× 103 1.8× 21 408
Vindhya Palagani Germany 9 257 1.3× 133 1.3× 58 0.6× 40 0.5× 116 2.0× 9 481
Gennadiy Novitskiy United States 9 122 0.6× 80 0.8× 124 1.4× 80 1.1× 20 0.3× 9 428
Tyralee Goo United States 7 108 0.6× 91 0.9× 45 0.5× 199 2.7× 49 0.8× 8 379
Heng-Fu Bu United States 10 185 1.0× 62 0.6× 72 0.8× 129 1.7× 22 0.4× 11 412
Jose Ruiz United States 10 162 0.8× 85 0.8× 53 0.6× 116 1.5× 60 1.0× 21 395
Sharada Ravikumar Singapore 8 230 1.2× 46 0.4× 151 1.7× 94 1.3× 56 1.0× 14 494

Countries citing papers authored by Arkadiusz R. Raczynski

Since Specialization
Citations

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

Fields of papers citing papers by Arkadiusz R. Raczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arkadiusz R. Raczynski. 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 Arkadiusz R. Raczynski. The network helps show where Arkadiusz R. Raczynski may publish in the future.

Co-authorship network of co-authors of Arkadiusz R. Raczynski

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

All Works

7 of 7 papers shown
2.
Knutson, Charles G., Aswin Mangerich, Yu Zeng, et al.. (2013). Chemical and cytokine features of innate immunity characterize serum and tissue profiles in inflammatory bowel disease. Proceedings of the National Academy of Sciences. 110(26). E2332–41. 97 indexed citations
3.
Raczynski, Arkadiusz R., Sureshkumar Muthupalani, Katherine Ann Schlieper, et al.. (2012). Enteric Infection with Citrobacter rodentium Induces Coagulative Liver Necrosis and Hepatic Inflammation Prior to Peak Infection and Colonic Disease. PLoS ONE. 7(3). e33099–e33099. 20 indexed citations
4.
Sheh, Alexander, Zhongming Ge, N. Parry, et al.. (2011). 17β-Estradiol and Tamoxifen Prevent Gastric Cancer by Modulating Leukocyte Recruitment and Oncogenic Pathways in Helicobacter Pylori –Infected INS-GAS Male Mice. Cancer Prevention Research. 4(9). 1426–1435. 62 indexed citations
5.
Sheh, Alexander, Zhongming Ge, N. Parry, et al.. (2011). 17(lowercase beta)-estradiol and Tamoxifen prevent gastric cancer by modulating leukocyte recruitment and oncogenic pathways in Helicobacter pylori-infected INS-GAS male mice. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
6.
Fox, James G., Yan Feng, Arkadiusz R. Raczynski, et al.. (2009). Gut microbes define liver cancer risk in mice exposed to chemical and viral transgenic hepatocarcinogens. Gut. 59(1). 88–97. 186 indexed citations
7.
Rogers, Arlin B., Rebecca C. Fry, Peter C. Dedon, et al.. (2009). Gut microbes define liver cancer risk in mice exposed to chemical and viral transgenic hepatocarcinogens. DSpace@MIT (Massachusetts Institute of Technology). 2 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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