Tom Pohida

17 total papers · 427 total citations
11 papers, 312 citations indexed

About

Tom Pohida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tom Pohida has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tom Pohida's work include Prostate Cancer Diagnosis and Treatment (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Tom Pohida is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Tom Pohida collaborates with scholars based in United States and United Kingdom. Tom Pohida's co-authors include Nicole Y. Morgan, Christopher J. Panebianco, Anand Swaroop, Tyler J. DiStefano, Linn Gieser, Matthew J. Brooks, Koray Dogan Kaya, Evan McCreedy, Matthew McAuliffe and Ruida Cheng and has published in prestigious journals such as Circulation Research, Biophysical Journal and Frontiers in Aging Neuroscience.

In The Last Decade

Tom Pohida

10 papers receiving 308 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tom Pohida	141	122	67	54	36	11	312
Olivier Burri	108 0.8×	74 0.6×	56 0.8×	12 0.2×	18 0.5×	24	316
Pei‐Hsuan Chu	157 1.1×	65 0.5×	36 0.5×	21 0.4×	6 0.2×	14	292
Shi-ang Qi	72 0.5×	145 1.2×	16 0.2×	61 1.1×	5 0.1×	11	339
Musodiq Bello	89 0.6×	34 0.3×	21 0.3×	39 0.7×	70 1.9×	13	256
Bihe Hu	87 0.6×	78 0.6×	71 1.1×	36 0.7×	24 0.7×	9	336
Behzad Banihashemi	73 0.5×	75 0.6×	30 0.4×	75 1.4×	3 0.1×	9	222
Guoqing Bao	83 0.6×	26 0.2×	19 0.3×	71 1.3×	31 0.9×	11	237
Florian Kromp	103 0.7×	14 0.1×	72 1.1×	19 0.4×	39 1.1×	13	333
Alexandra Schuler	75 0.5×	38 0.3×	40 0.6×	89 1.6×	12 0.3×	8	332
Binbin Cui	157 1.1×	85 0.7×	17 0.3×	9 0.2×	9 0.3×	17	311

Countries citing papers authored by Tom Pohida

Since Specialization

Citations

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

Fields of papers citing papers by Tom Pohida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Pohida

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

All Works

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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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