K Venner

1.6k total citations
70 papers, 1.0k citations indexed

About

K Venner is a scholar working on Epidemiology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, K Venner has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 35 papers in General Health Professions and 21 papers in Public Health, Environmental and Occupational Health. Recurrent topics in K Venner's work include Substance Abuse Treatment and Outcomes (39 papers), Community Health and Development (20 papers) and Health Policy Implementation Science (19 papers). K Venner is often cited by papers focused on Substance Abuse Treatment and Outcomes (39 papers), Community Health and Development (20 papers) and Health Policy Implementation Science (19 papers). K Venner collaborates with scholars based in United States, Canada and United Kingdom. K Venner's co-authors include Brenna L. Greenfield, Sarah W. Feldstein, Jalene Herron, Angela D. Bryan, Steven P. Verney, Carmen La Rosa, Aimee Campbell, A. Kathleen Burlew, Dennis C. Wendt and William R. Miller and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, International Journal of Environmental Research and Public Health and Addiction.

In The Last Decade

K Venner

65 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Venner United States 20 485 474 311 209 186 70 1.0k
Jessica De Maeyer Belgium 18 462 1.0× 538 1.1× 327 1.1× 250 1.2× 61 0.3× 48 1.2k
Redonna K. Chandler United States 14 353 0.7× 491 1.0× 369 1.2× 271 1.3× 68 0.4× 21 1.1k
Corrie L. Vilsaint United States 14 517 1.1× 436 0.9× 278 0.9× 294 1.4× 94 0.5× 23 1.1k
Stella M. Resko United States 17 317 0.7× 335 0.7× 191 0.6× 380 1.8× 112 0.6× 79 974
Cheryl Teruya United States 17 357 0.7× 765 1.6× 538 1.7× 181 0.9× 65 0.3× 26 1.2k
Kristen D. Seay United States 14 362 0.7× 235 0.5× 216 0.7× 511 2.4× 86 0.5× 31 1.0k
Calvin D. Croy United States 17 358 0.7× 176 0.4× 175 0.6× 334 1.6× 223 1.2× 29 897
Mary A. Hatch‐Maillette United States 16 325 0.7× 527 1.1× 362 1.2× 184 0.9× 39 0.2× 39 962
Stephanie Clone United States 10 335 0.7× 303 0.6× 187 0.6× 225 1.1× 49 0.3× 11 727
Orion Mowbray United States 17 289 0.6× 250 0.5× 137 0.4× 327 1.6× 80 0.4× 70 792

Countries citing papers authored by K Venner

Since Specialization
Citations

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

Fields of papers citing papers by K Venner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Venner

This figure shows the co-authorship network connecting the top 25 collaborators of K Venner. A scholar is included among the top collaborators of K Venner 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 K Venner. K Venner 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
3.
Boness, Cassandra L., et al.. (2023). Evidence-Based Assessment of Substance Use Disorder. Assessment. 31(1). 168–190. 7 indexed citations
4.
Sinicrope, Pamela S., Anne I. Roche, Lisa A. Marsch, et al.. (2023). Wiidookaage’Win: A Community-Based Qualitative Approach to Developing a Facebook Group Intervention for Native Women to Support Recovery From Opioid Use. American Journal of Health Promotion. 38(2). 205–218.
5.
Hurlocker, Margo C., Theresa B. Moyers, Geoffrey M. Curran, et al.. (2023). Effectiveness and feasibility of a motivational interviewing intake (MII) intervention for increasing client engagement in outpatient addiction treatment: an effectiveness-implementation hybrid design protocol. Addiction Science & Clinical Practice. 18(1). 63–63. 2 indexed citations
6.
Oluwoye, Oladunni, Mélanie Nadeau, Jalene Herron, et al.. (2023). Coming together for something good: recommendations from a scoping review for dissemination and implementation science to improve indigenous substance use disorder treatment. Frontiers in Public Health. 11. 1265122–1265122. 4 indexed citations
8.
Edwards, Karlyn A., Kevin E. Vowles, R. Kathryn McHugh, K Venner, & Katie Witkiewitz. (2022). Changes in pain during buprenorphine maintenance treatment among patients with opioid use disorder and chronic pain.. Journal of Consulting and Clinical Psychology. 90(4). 314–325. 6 indexed citations
9.
Qeadan, Fares, Nana A. Mensah, Lily Y. Gu, et al.. (2021). Trends in the Use of Naltrexone for Addiction Treatment among Alcohol Use Disorder Admissions in U.S. Substance Use Treatment Facilities. International Journal of Environmental Research and Public Health. 18(16). 8884–8884. 9 indexed citations
10.
Qeadan, Fares, et al.. (2021). Associations between opioid misuse and social relationship factors among American Indian, Alaska Native, and Native Hawaiian college students in the U.S.. Drug and Alcohol Dependence. 222. 108667–108667. 13 indexed citations
11.
El‐Bassel, Nabila, Louisa Gilbert, Timothy Hunt, et al.. (2021). Using community engagement to implement evidence-based practices for opioid use disorder: A data-driven paradigm & systems science approach. Drug and Alcohol Dependence. 222. 108675–108675. 17 indexed citations
13.
Greenfield, Brenna L., et al.. (2018). Low rates of alcohol and tobacco use, strong cultural ties for Native American college students in the Southwest. Addictive Behaviors. 82. 122–128. 20 indexed citations
14.
Venner, K, et al.. (2018). Native Americans resolve alcohol use disorder: “Whatever it takes or all that it takes”.. Cultural Diversity & Ethnic Minority Psychology. 25(3). 350–358. 6 indexed citations
15.
Venner, K, et al.. (2015). Pilot outcome results of culturally adapted evidence-based substance use disorder treatment with a Southwest Tribe. Addictive Behaviors Reports. 3. 21–27. 43 indexed citations
16.
Venner, K, et al.. (2012). “I'm not one of them”: Barriers to help-seeking among American Indians with alcohol dependence.. Cultural Diversity & Ethnic Minority Psychology. 18(4). 352–362. 32 indexed citations
17.
Burlew, A. Kathleen, et al.. (2011). Increasing ethnic minority participation in substance abuse clinical trials: Lessons learned in the National Institute on Drug Abuse's Clinical Trials Network.. Cultural Diversity & Ethnic Minority Psychology. 17(4). 345–356. 42 indexed citations
19.
Venner, K, Helen Matzger, Alyssa A. Forcehimes, et al.. (2006). Course of Recovery from Alcoholism. Alcoholism Clinical and Experimental Research. 30(6). 1079–1090. 12 indexed citations
20.
Walker, Denise D., K Venner, Dina E. Hill, Robert J. Meyers, & William R. Miller. (2004). A comparison of alcohol and drug disorders: Is there evidence for a developmental sequence of drug abuse?. Addictive Behaviors. 29(4). 817–823. 5 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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