Heidi Snider

739 total citations
11 papers, 605 citations indexed

About

Heidi Snider is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Infectious Diseases. According to data from OpenAlex, Heidi Snider has authored 11 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 6 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Heidi Snider's work include Research on Leishmaniasis Studies (8 papers), Trypanosoma species research and implications (6 papers) and Mosquito-borne diseases and control (2 papers). Heidi Snider is often cited by papers focused on Research on Leishmaniasis Studies (8 papers), Trypanosoma species research and implications (6 papers) and Mosquito-borne diseases and control (2 papers). Heidi Snider collaborates with scholars based in United States, United Kingdom and Czechia. Heidi Snider's co-authors include P. Robert Beatty, Sujan Shresta, Eva Harris, Jennifer L. Kyle, Abhay R. Satoskar, Daniil M. Prigozhin, Claudio M. Lezama‐Dávila, James Alexander, Joseph Barbi and Lorena Gómez-García and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and The FASEB Journal.

In The Last Decade

Heidi Snider

11 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heidi Snider United States 8 437 303 197 120 49 11 605
Siddhartha Kumar Bhaumik India 12 274 0.6× 195 0.6× 244 1.2× 165 1.4× 32 0.7× 17 643
Derek J. Bangs United States 7 400 0.9× 371 1.2× 120 0.6× 73 0.6× 30 0.6× 7 583
Yee Suan Poo Australia 8 421 1.0× 355 1.2× 108 0.5× 65 0.5× 21 0.4× 10 560
Mariah Hassert United States 12 375 0.9× 395 1.3× 65 0.3× 145 1.2× 36 0.7× 31 560
Sudhanshu Vrati India 11 222 0.5× 227 0.7× 90 0.5× 70 0.6× 43 0.9× 15 433
Sara C. Smelt United Kingdom 8 386 0.9× 155 0.5× 215 1.1× 294 2.5× 128 2.6× 9 651
Daniela Cerny Singapore 7 234 0.5× 219 0.7× 84 0.4× 34 0.3× 28 0.6× 7 350
Rosane B. DeOliveira United States 11 201 0.5× 104 0.3× 377 1.9× 146 1.2× 50 1.0× 15 679
H. Remy Bailor United States 8 199 0.5× 89 0.3× 215 1.1× 167 1.4× 49 1.0× 8 432
Sandra Bühler Germany 5 374 0.9× 280 0.9× 65 0.3× 123 1.0× 12 0.2× 6 591

Countries citing papers authored by Heidi Snider

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Snider

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

All Works

11 of 11 papers shown
1.
2.
Gupta, Gaurav, Kevin J. Peine, Dalia Abdelhamid, et al.. (2015). A Novel Sterol Isolated from a Plant Used by Mayan Traditional Healers Is Effective in Treatment of Visceral Leishmaniasis Caused by Leishmania donovani. ACS Infectious Diseases. 1(10). 497–506. 20 indexed citations
3.
Oghumu, Steve, Gaurav Gupta, Heidi Snider, et al.. (2013). STAT4 is critical for immunity but not for antileishmanial activity of antimonials in experimental visceral leishmaniasis. European Journal of Immunology. 44(2). 450–459. 18 indexed citations
4.
Snider, Heidi, Patrick K. Reville, Arlene H. Sharpe, & Abhay R. Satoskar. (2010). OX40L mediates susceptibility to chronic Leishmania donovani infection (40.26). The Journal of Immunology. 184(Supplement_1). 40.26–40.26. 1 indexed citations
5.
Snider, Heidi, Joseph Barbi, & Abhay R. Satoskar. (2009). Macrophages contribute to pathogenesis of visceral leishmaniasis via a STAT1-dependent mechanism (131.10). The Journal of Immunology. 182(Supplement_1). 131.10–131.10. 2 indexed citations
6.
Snider, Heidi, Claudio M. Lezama‐Dávila, James Alexander, & Abhay R. Satoskar. (2009). Sex Hormones and Modulation of Immunity against Leishmaniasis. NeuroImmunoModulation. 16(2). 106–113. 64 indexed citations
7.
8.
Rosas, Lucia E., Heidi Snider, Joseph Barbi, et al.. (2006). Cutting Edge: STAT1 and T-bet Play Distinct Roles in Determining Outcome of Visceral Leishmaniasis Caused by Leishmania donovani. The Journal of Immunology. 177(1). 22–25. 46 indexed citations
9.
Reyes, José L., Luis I. Terrazas, Bertha Espinoza, et al.. (2006). Macrophage Migration Inhibitory Factor Contributes to Host Defense against AcuteTrypanosoma cruziInfection. Infection and Immunity. 74(6). 3170–3179. 64 indexed citations
10.
Shresta, Sujan, et al.. (2005). Critical Roles for Both STAT1-Dependent and STAT1-Independent Pathways in the Control of Primary Dengue Virus Infection in Mice. The Journal of Immunology. 175(6). 3946–3954. 113 indexed citations
11.

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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