Julius A. Potian

910 total citations
8 papers, 720 citations indexed

About

Julius A. Potian is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Julius A. Potian has authored 8 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Julius A. Potian's work include Tuberculosis Research and Epidemiology (2 papers), Mesenchymal stem cell research (2 papers) and Receptor Mechanisms and Signaling (2 papers). Julius A. Potian is often cited by papers focused on Tuberculosis Research and Epidemiology (2 papers), Mesenchymal stem cell research (2 papers) and Receptor Mechanisms and Signaling (2 papers). Julius A. Potian collaborates with scholars based in United States, Spain and South Korea. Julius A. Potian's co-authors include Pranela Rameshwar, Jonathan S. Harrison, Nicholas M. Ponzio, Hana Aviv, Padmini Salgame, Kamlesh Bhatt, Amanda McBride, William C. Gause, Wasiulla Rafi and Paul Maloof and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Cancer Research.

In The Last Decade

Julius A. Potian

8 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julius A. Potian United States	7	355	201	175	148	129	8	720
Antonella Ceravolo Italy	8	906 2.6×	319 1.6×	257 1.5×	308 2.1×	139 1.1×	11	1.3k
Rifaat Bashir United States	15	320 0.9×	159 0.8×	87 0.5×	73 0.5×	264 2.0×	25	1.0k
H. Nida Sen United States	32	83 0.2×	321 1.6×	237 1.4×	49 0.3×	205 1.6×	118	2.6k
Marcus G. Hodges United States	6	251 0.7×	142 0.7×	299 1.7×	158 1.1×	66 0.5×	9	701
Devorah C. Goldman United States	17	72 0.2×	525 2.6×	151 0.9×	113 0.8×	146 1.1×	26	976
Lillian Reich United States	10	116 0.3×	112 0.6×	87 0.5×	102 0.7×	111 0.9×	18	694
Héctor Costa Argentina	8	348 1.0×	151 0.8×	165 0.9×	167 1.1×	61 0.5×	12	593
Bryan A. Anthony United States	10	107 0.3×	261 1.3×	826 4.7×	44 0.3×	180 1.4×	11	1.3k
Paritha Arumugam United States	20	203 0.6×	502 2.5×	260 1.5×	163 1.1×	105 0.8×	36	1.1k
Glenn P. Niemeyer United States	13	232 0.7×	387 1.9×	147 0.8×	172 1.2×	207 1.6×	24	984

Countries citing papers authored by Julius A. Potian

Since Specialization

Citations

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

Fields of papers citing papers by Julius A. Potian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julius A. Potian. 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 Julius A. Potian. The network helps show where Julius A. Potian may publish in the future.

Co-authorship network of co-authors of Julius A. Potian

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

All Works

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8 of 8 papers shown

Potian, Julius A., Wasiulla Rafi, Kamlesh Bhatt, et al.. (2011). Preexisting helminth infection induces inhibition of innate pulmonary anti-tuberculosis defense by engaging the IL-4 receptor pathway. The Journal of Experimental Medicine. 208(9). 1863–1874. 158 indexed citations

Bhatt, Kamlesh, et al.. (2009). B7 Costimulation Is Critical for Host Control of Chronic Mycobacterium tuberculosis Infection. The Journal of Immunology. 182(6). 3793–3800. 23 indexed citations

Potian, Julius A., Kamlesh Bhatt, Zhugong Liu, William C. Gause, & Padmini Salgame. (2007). Helminthic infection enhances susceptibility to tuberculosis in a murine coinfection model (43.31). The Journal of Immunology. 178(1_Supplement). S42–S42. 3 indexed citations

Chan, Jennifer, et al.. (2005). A paradoxical role for IFN-γ in the immune properties of mesenchymal stem cells during viral challenge. Experimental Hematology. 33(7). 796–803. 48 indexed citations

Patel, Prem, et al.. (2004). Facilitating Role of Preprotachykinin-I Gene in the Integration of Breast Cancer Cells within the Stromal Compartment of the Bone Marrow. Cancer Research. 64(8). 2874–2881. 61 indexed citations

Potian, Julius A., Hana Aviv, Nicholas M. Ponzio, Jonathan S. Harrison, & Pranela Rameshwar. (2003). Veto-Like Activity of Mesenchymal Stem Cells: Functional Discrimination Between Cellular Responses to Alloantigens and Recall Antigens. The Journal of Immunology. 171(7). 3426–3434. 353 indexed citations

Bandari, Persis, Jing Qian, Hyun Sook Oh, et al.. (2003). Crosstalk between neurokinin receptors is relevant to hematopoietic regulation: cloning and characterization of neurokinin-2 promoter. Journal of Neuroimmunology. 138(1-2). 65–75. 27 indexed citations

Bandari, Persis, Jing Qian, Ghassan Yehia, et al.. (2003). Hematopoietic growth factor inducible neurokinin-1 type: a transmembrane protein that is similar to neurokinin 1 interacts with substance P. Regulatory Peptides. 111(1-3). 169–178. 47 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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