David M. Putman

668 total citations
9 papers, 537 citations indexed

About

David M. Putman is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, David M. Putman has authored 9 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Surgery. Recurrent topics in David M. Putman's work include Mesenchymal stem cell research (5 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). David M. Putman is often cited by papers focused on Mesenchymal stem cell research (5 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). David M. Putman collaborates with scholars based in Canada, United States and Italy. David M. Putman's co-authors include Marco Mor, Jeff A. Parrott, Andrea Duranti, Olivier Dasse, Giorgio Tarzia, Andrea Tontini, Edward P. Monaghan, Daniele Piomelli, David A. Hess and Gillian I. Bell and has published in prestigious journals such as PLoS ONE, Diabetologia and Biochemical Pharmacology.

In The Last Decade

David M. Putman

9 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Putman Canada	7	332	190	150	103	68	9	537
Iryna A. Khasabova United States	16	409 1.2×	219 1.2×	195 1.3×	44 0.4×	53 0.8×	28	786
Elena García-Taboada Spain	13	571 1.7×	206 1.1×	204 1.4×	154 1.5×	64 0.9×	14	849
Aoife Gowran Ireland	16	373 1.1×	212 1.1×	191 1.3×	94 0.9×	23 0.3×	20	682
Margarita Suardíaz Spain	12	240 0.7×	160 0.8×	174 1.2×	32 0.3×	30 0.4×	17	591
Maxx P. Horowitz United States	6	268 0.8×	188 1.0×	223 1.5×	94 0.9×	35 0.5×	6	748
Orr Ofek Israel	6	578 1.7×	235 1.2×	246 1.6×	123 1.2×	21 0.3×	7	842
David Dávila Spain	13	209 0.6×	145 0.8×	383 2.6×	94 0.9×	29 0.4×	19	804
Arash Pakdel United States	4	387 1.2×	112 0.6×	114 0.8×	141 1.4×	23 0.3×	4	513
Lauren S. Whyte Australia	10	300 0.9×	147 0.8×	217 1.4×	156 1.5×	5 0.1×	13	664
Wan Fu China	16	150 0.5×	106 0.6×	334 2.2×	134 1.3×	19 0.3×	21	696

Countries citing papers authored by David M. Putman

Since Specialization

Citations

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

Fields of papers citing papers by David M. Putman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Putman. 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 David M. Putman. The network helps show where David M. Putman may publish in the future.

Co-authorship network of co-authors of David M. Putman

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

All Works

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9 of 9 papers shown

1.

Sherman, Stephen E., Miljan Kuljanin, Tyler T. Cooper, et al.. (2017). High Aldehyde Dehydrogenase Activity Identifies a Subset of Human Mesenchymal Stromal Cells with Vascular Regenerative Potential. Stem Cells. 35(6). 1542–1553. 39 indexed citations

2.

Putman, David M., et al.. (2017). Expansion of Umbilical Cord Blood Aldehyde Dehydrogenase Expressing Cells Generates Myeloid Progenitor Cells that Stimulate Limb Revascularization. Stem Cells Translational Medicine. 6(7). 1607–1619. 18 indexed citations

3.

Dasse, Olivier, Geoffrey Bilcer, David M. Putman, et al.. (2015). APN0417: A potent and efficacious α7 nAChR positive allosteric modulator. Biochemical Pharmacology. 97(4). 636–636. 1 indexed citations

4.

Bell, Gillian I., et al.. (2015). Expanded Hematopoietic Progenitor Cells Reselected for High Aldehyde Dehydrogenase Activity Demonstrate Islet Regenerative Functions. Stem Cells. 34(4). 873–887. 9 indexed citations

5.

Putman, David M. & David A. Hess. (2013). Isolation of Human Umbilical Cord Blood Aldehyde Dehydrogenase–Expressing Progenitor Cells that Modulate Vascular Regenerative Functions In Vitro and In Vivo. Current Protocols in Stem Cell Biology. 25(1). Unit 2A.10–Unit 2A.10. 6 indexed citations

6.

Quail, Daniela F., Guihua Zhang, Logan A. Walsh, et al.. (2012). Embryonic Morphogen Nodal Promotes Breast Cancer Growth and Progression. PLoS ONE. 7(11). e48237–e48237. 35 indexed citations

7.

Bell, Gillian I., et al.. (2012). Intrapancreatic delivery of human umbilical cord blood aldehyde dehydrogenase-producing cells promotes islet regeneration. Diabetologia. 55(6). 1755–1760. 19 indexed citations

8.

Putman, David M., et al.. (2012). Umbilical Cord Blood‐Derived Aldehyde Dehydrogenase‐Expressing Progenitor Cells Promote Recovery from Acute Ischemic Injury. Stem Cells. 30(10). 2248–2260. 46 indexed citations

9.

Piomelli, Daniele, Giorgio Tarzia, Andrea Duranti, et al.. (2006). Pharmacological Profile of the Selective FAAH Inhibitor KDS-4103 (URB597). CNS Drug Reviews. 12(1). 21–38. 364 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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