Harvey B. Pollard

18.0k total citations · 3 hit papers
295 papers, 14.3k citations indexed

About

Harvey B. Pollard is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Harvey B. Pollard has authored 295 papers receiving a total of 14.3k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Molecular Biology, 60 papers in Cell Biology and 55 papers in Cellular and Molecular Neuroscience. Recurrent topics in Harvey B. Pollard's work include S100 Proteins and Annexins (40 papers), Ion channel regulation and function (39 papers) and Cystic Fibrosis Research Advances (34 papers). Harvey B. Pollard is often cited by papers focused on S100 Proteins and Annexins (40 papers), Ion channel regulation and function (39 papers) and Cystic Fibrosis Research Advances (34 papers). Harvey B. Pollard collaborates with scholars based in United States, Israel and Poland. Harvey B. Pollard's co-authors include Nelson Arispe, Meera Srivastava, Patrick Raynal, Christopher J. Pazoles, E Rojas, Carl E. Creutz, Emilio Rojas, Eduardo Rojas, A. Lee Burns and Ofer Eidelman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Harvey B. Pollard

291 papers receiving 13.8k citations

Hit Papers

Annexins: the problem of assessing the biological role fo... 1993 2026 2004 2015 1994 1993 2016 250 500 750

Peers

Harvey B. Pollard
Charles J. Epstein United States
Gloria Lee United States
Rajiv R. Ratan United States
Jesse Roth United States
Paul A. Insel United States
Jon B. Klein United States
Charles J. Epstein United States
Harvey B. Pollard
Citations per year, relative to Harvey B. Pollard Harvey B. Pollard (= 1×) peers Charles J. Epstein

Countries citing papers authored by Harvey B. Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Harvey B. Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harvey B. Pollard. 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 Harvey B. Pollard. The network helps show where Harvey B. Pollard may publish in the future.

Co-authorship network of co-authors of Harvey B. Pollard

This figure shows the co-authorship network connecting the top 25 collaborators of Harvey B. Pollard. A scholar is included among the top collaborators of Harvey B. Pollard 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 Harvey B. Pollard. Harvey B. Pollard 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.
Bera, Alakesh, Narayanan Puthillathu, Madhan Subramanian, et al.. (2024). Role of Annexin 7 (ANXA7) as a Tumor Suppressor and a Regulator of Drug Resistance in Thyroid Cancer. International Journal of Molecular Sciences. 25(23). 13217–13217. 1 indexed citations
2.
Wilkerson, Matthew D., Daniel Hupalo, Joshua C. Gray, et al.. (2023). Uncommon Protein-Coding Variants Associated With Suicide Attempt in a Diverse Sample of U.S. Army Soldiers. Biological Psychiatry. 96(1). 15–25. 2 indexed citations
3.
Zhang, Xijun, Anthony R. Soltis, Clifton L. Dalgard, et al.. (2021). Tensin 1 ( TNS1 ) is a modifier gene for low body mass index (BMI) in homozygous [ F508del ]CFTR patients. Physiological Reports. 9(11). e14886–e14886. 2 indexed citations
4.
Pollard, Harvey B., et al.. (2018). Induced pluripotent stem cells for treating cystic fibrosis: State of the science. Pediatric Pulmonology. 53(S3). S12–S29. 20 indexed citations
5.
Mallon, Timothy M., Dean P. Jones, Mark J. Utell, et al.. (2016). Introduction to Department of Defense Research on Burn Pits, Biomarkers, and Health Outcomes Related to Deployment in Iraq and Afghanistan. Journal of Occupational and Environmental Medicine. 58(8). S3–S11. 24 indexed citations
6.
Singh, Vijay K., Victoria Newman, Patricia L.P. Romaine, Martin Hauer‐Jensen, & Harvey B. Pollard. (2015). Use of biomarkers for assessing radiation injury and efficacy of countermeasures. Expert Review of Molecular Diagnostics. 16(1). 65–81. 88 indexed citations
7.
Mousseau, Michael, David M. Jacobowitz, Rachel C. Lazarus, et al.. (2015). Autoimmune Profiling Reveals Peroxiredoxin 6 as a Candidate Traumatic Brain Injury Biomarker. Journal of Neurotrauma. 32(22). 1805–1814. 30 indexed citations
9.
Kumar, Parameet, Sharmistha Bhattacharyya, Sangbrita Chattoraj, et al.. (2013). Differential Regulation of Inflammation by Inflammatory Mediators in Cystic Fibrosis Lung Epithelial Cells. Journal of Interferon & Cytokine Research. 33(3). 121–129. 29 indexed citations
10.
Jacobowitz, David M., Jeffrey T. Cole, Dennis P. McDaniel, Harvey B. Pollard, & William D. Watson. (2012). Microglia activation along the corticospinal tract following traumatic brain injury in the rat: A neuroanatomical study. Brain Research. 1465. 80–89. 32 indexed citations
11.
Veena, Mysore S., Saroj K. Basak, Eugene Han, et al.. (2011). Curcumin Treatment Suppresses IKKβ Kinase Activity of Salivary Cells of Patients with Head and Neck Cancer: A Pilot Study. Clinical Cancer Research. 17(18). 5953–5961. 96 indexed citations
12.
Srivastava, Meera, Ofer Eidelman, Yelizaveta Torosyan, et al.. (2011). Elevated expression levels of ANXA11, integrins β3 and α3, and TNF‐α contribute to a candidate proteomic signature in urine for kidney allograft rejection. PROTEOMICS - CLINICAL APPLICATIONS. 5(5-6). 311–321. 25 indexed citations
13.
Agoston, Denes V., Andrea György, Ofer Eidelman, & Harvey B. Pollard. (2009). Proteomic Biomarkers for Blast Neurotrauma: Targeting Cerebral Edema, Inflammation, and Neuronal Death Cascades. Journal of Neurotrauma. 26(6). 901–911. 54 indexed citations
14.
Pollard, Harvey B., Ofer Eidelman, Catherine Jozwik, et al.. (2006). De Novo Biosynthetic Profiling of High Abundance Proteins in Cystic Fibrosis Lung Epithelial Cells. Molecular & Cellular Proteomics. 5(9). 1628–1637. 38 indexed citations
15.
Srivastava, Meera, Lukas Bubendorf, Mark Raffeld, et al.. (2004). Prognostic Impact of ANX7-GTPase in Metastatic and HER2-Negative Breast Cancer Patients. Clinical Cancer Research. 10(7). 2344–2350. 38 indexed citations
16.
Pollard, Harvey B. & David K. Apps. (2002). New Technologies in Exocytosis and Ion Movement. Annals of the New York Academy of Sciences. 971(1). 617–619. 5 indexed citations
17.
He, Xinjun, Gemma A.J. Kuijpers, Gertrud Goping, et al.. (1998). A polarized salivary cell monolayer useful for studying transepithelial fluid movement in vitro. Pflügers Archiv - European Journal of Physiology. 435(3). 375–381. 38 indexed citations
18.
19.
Sussman, Karl E., Harvey B. Pollard, J. Wayne Leitner, et al.. (1983). Differential control of insulin secretion and somatostatin-receptor recruitment in isolated pancreatic islets. Biochemical Journal. 214(1). 225–230. 21 indexed citations
20.
Pollard, Harvey B., Christopher J. Pazoles, Carl E. Creutz, & Oren Zinder. (1979). The Chromaffin Granule and Possible Mechanisms of Exocytosis. International review of cytology. 58. 159–197. 126 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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