Daniel Goldman

4.1k total citations
95 papers, 3.0k citations indexed

About

Daniel Goldman is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Daniel Goldman has authored 95 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Physiology, 29 papers in Cardiology and Cardiovascular Medicine and 23 papers in Cell Biology. Recurrent topics in Daniel Goldman's work include Hemoglobin structure and function (19 papers), Cardiovascular and exercise physiology (16 papers) and Heart Rate Variability and Autonomic Control (15 papers). Daniel Goldman is often cited by papers focused on Hemoglobin structure and function (19 papers), Cardiovascular and exercise physiology (16 papers) and Heart Rate Variability and Autonomic Control (15 papers). Daniel Goldman collaborates with scholars based in Canada, United States and Germany. Daniel Goldman's co-authors include Aleksander S. Popel, Christopher G. Ellis, Carlos Bustamante, Christian Kaiser, Ignacio Tinoco, Ryon M. Bateman, Mary L. Ellsworth, Alan H. Stephenson, Randy S. Sprague and John D. Chodera and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniel Goldman

90 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Goldman Canada 30 1.2k 635 490 442 280 95 3.0k
Ken Yamazaki Japan 33 1.1k 0.9× 168 0.3× 493 1.0× 197 0.4× 378 1.4× 120 3.3k
Andrey Kuznetsov United States 27 2.2k 1.8× 727 1.1× 471 1.0× 460 1.0× 54 0.2× 47 3.2k
Gerald M. Saidel United States 33 1.3k 1.1× 447 0.7× 428 0.9× 325 0.7× 915 3.3× 178 4.4k
Mary L. Ellsworth United States 35 921 0.8× 2.1k 3.3× 904 1.8× 866 2.0× 634 2.3× 69 4.3k
Satoshi Fujita Japan 30 815 0.7× 418 0.7× 1.3k 2.6× 347 0.8× 156 0.6× 223 4.5k
Roland N. Pittman United States 40 620 0.5× 1.4k 2.2× 655 1.3× 1.1k 2.4× 488 1.7× 129 4.1k
Ronald M. Lynch United States 33 2.0k 1.6× 435 0.7× 205 0.4× 346 0.8× 148 0.5× 88 3.6k
Lea M.D. Delbridge Australia 38 1.7k 1.4× 515 0.8× 1.7k 3.6× 194 0.4× 134 0.5× 133 4.1k
Alessandra Cucina Italy 39 1.6k 1.3× 636 1.0× 204 0.4× 369 0.8× 315 1.1× 134 3.9k
Katsuya Hirano Japan 38 2.2k 1.8× 1.3k 2.0× 1.2k 2.4× 458 1.0× 259 0.9× 224 5.4k

Countries citing papers authored by Daniel Goldman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Goldman. A scholar is included among the top collaborators of Daniel Goldman 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 Daniel Goldman. Daniel Goldman 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.
Goldman, Daniel, et al.. (2024). Capillary oxygen regulates demand–supply coupling by triggering connexin40-mediated conduction: Rethinking the metabolic hypothesis. Proceedings of the National Academy of Sciences. 121(8). e2303119121–e2303119121. 1 indexed citations
2.
Welsh, Donald G., et al.. (2024). Assessing Progressive Microvascular Dysfunction in Early Sepsis with Non-invasive Optical Spectroscopy. TW1B.3–TW1B.3. 1 indexed citations
3.
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5.
Singh, Krishna K., Stephanie J. Frisbee, Vladimir Hachinski, et al.. (2023). Thromboxane-induced cerebral microvascular rarefaction predicts depressive symptom emergence in metabolic disease. Journal of Applied Physiology. 136(1). 122–140. 2 indexed citations
6.
Fraser, Graham, et al.. (2021). Evidence for role of capillaries in regulation of skeletal muscle oxygen supply. Microcirculation. 28(6). e12699–e12699. 6 indexed citations
7.
Zinshteyn, Boris, Daniel Goldman, Madeline Cassani, et al.. (2020). Puromycin reactivity does not accurately localize translation at the subcellular level. eLife. 9. 60 indexed citations
8.
Åkerström, Thorbjörn, Daniel Goldman, Graham Fraser, et al.. (2019). Hyperinsulinemia does not cause de novo capillary recruitment in rat skeletal muscle. Microcirculation. 27(2). e12593–e12593. 14 indexed citations
9.
Schöneberg, Johannes, Shannon Yan, Maurizio Righini, et al.. (2018). ATP-dependent force generation and membrane scission by ESCRT-III and Vps4. Science. 362(6421). 1423–1428. 126 indexed citations
10.
Schöneberg, Johannes, Shannon Yan, Amir Houshang Bahrami, et al.. (2018). ESCRT Membrane Scission Revealed by Optical Tweezers. Biophysical Journal. 114(3). 554a–554a. 1 indexed citations
11.
Nong, Zengxuan, Fuyan Li, Hao Yin, et al.. (2017). Four-Dimensional Microvascular Analysis Reveals That Regenerative Angiogenesis in Ischemic Muscle Produces a Flawed Microcirculation. Circulation Research. 120(9). 1453–1465. 51 indexed citations
12.
Paix, Alexandre, Andrew W. Folkmann, Daniel Goldman, et al.. (2017). Precision genome editing using synthesis-dependent repair of Cas9-induced DNA breaks. Proceedings of the National Academy of Sciences. 114(50). E10745–E10754. 147 indexed citations
13.
Sové, Richard J., Daniel Goldman, & Graham Fraser. (2016). A computational model of the effect of capillary density variability on oxygen transport, glucose uptake, and insulin sensitivity in prediabetes. Microcirculation. 24(2). 5 indexed citations
14.
Sové, Richard J., Graham Fraser, Daniel Goldman, & Christopher G. Ellis. (2016). Finite Element Model of Oxygen Transport for the Design of Geometrically Complex Microfluidic Devices Used in Biological Studies. PLoS ONE. 11(11). e0166289–e0166289. 6 indexed citations
15.
Goldman, Daniel, Christian Kaiser, Anthony N. Milin, et al.. (2015). Mechanical force releases nascent chain–mediated ribosome arrest in vitro and in vivo. Science. 348(6233). 457–460. 170 indexed citations
16.
Al‐Khazraji, Baraa K., Nicole Novielli, Daniel Goldman, Philip J. Medeiros, & Dwayne N. Jackson. (2012). A Simple “Streak Length Method” for Quantifying and Characterizing Red Blood Cell Velocity Profiles and Blood Flow in Rat Skeletal Muscle Arterioles. Microcirculation. 19(4). 327–335. 22 indexed citations
17.
Tsoukias, Nikolaos M., et al.. (2007). A computational model of oxygen delivery by hemoglobin-based oxygen carriers in three-dimensional microvascular networks. Journal of Theoretical Biology. 248(4). 657–674. 40 indexed citations
18.
Popel, Aleksander S., et al.. (2003). Modeling of Oxygen Diffusion from the Blood Vessels to Intracellular Organelles. Advances in experimental medicine and biology. 530. 485–495. 19 indexed citations
19.
Goldman, Daniel & Lawrence Sirovich. (1995). A novel method for simulating the complex Ginzburg-Landau equation. Quarterly of Applied Mathematics. 53(2). 315–333. 7 indexed citations
20.
Sirovich, Lawrence & Daniel Goldman. (1993). Spatiotemporal chaos in the complex ginzburg-landau equation and other studies in nonlinear dynamics. PhDT. 1 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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