Kimmo Pahkala

1.3k total citations
42 papers, 1.1k citations indexed

About

Kimmo Pahkala is a scholar working on Health, Neuropsychology and Physiological Psychology and General Health Professions. According to data from OpenAlex, Kimmo Pahkala has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, 12 papers in Neuropsychology and Physiological Psychology and 12 papers in General Health Professions. Recurrent topics in Kimmo Pahkala's work include Health disparities and outcomes (21 papers), Aging and Gerontology Research (12 papers) and Mental Health Research Topics (8 papers). Kimmo Pahkala is often cited by papers focused on Health disparities and outcomes (21 papers), Aging and Gerontology Research (12 papers) and Mental Health Research Topics (8 papers). Kimmo Pahkala collaborates with scholars based in Finland and Hong Kong. Kimmo Pahkala's co-authors include Sirkka‐Liisa Kivelä, P. Laippala, Pekka Laippala, Päivi Köngäs‐Saviaro, Kari Mattila, Pekka Laippala, Petteri Viramo, Pékka Laippala, Keijo Koski and Heikki Luukinen and has published in prestigious journals such as Journal of Clinical Epidemiology, Journal of the American Geriatrics Society and Preventive Medicine.

In The Last Decade

Kimmo Pahkala

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimmo Pahkala Finland 21 474 287 264 237 232 42 1.1k
I. Meller Germany 15 544 1.1× 354 1.2× 348 1.3× 206 0.9× 203 0.9× 25 1.1k
Dan G. Blazer United States 11 592 1.2× 328 1.1× 342 1.3× 370 1.6× 111 0.5× 13 1.6k
Jens Kronborg Djernes Denmark 4 417 0.9× 226 0.8× 280 1.1× 186 0.8× 166 0.7× 7 914
Dana C. Hughes United States 16 344 0.7× 256 0.9× 320 1.2× 479 2.0× 94 0.4× 30 1.3k
Jeffrey M. Lyness United States 10 220 0.5× 334 1.2× 173 0.7× 385 1.6× 116 0.5× 10 1.1k
R. Scott Australia 13 344 0.7× 749 2.6× 322 1.2× 432 1.8× 134 0.6× 15 1.5k
Sandra Evans United Kingdom 10 209 0.4× 279 1.0× 222 0.8× 142 0.6× 112 0.5× 26 824
Regula Herzog United States 6 308 0.6× 162 0.6× 215 0.8× 164 0.7× 104 0.4× 7 827
Nori Graham United Kingdom 14 229 0.5× 426 1.5× 378 1.4× 176 0.7× 125 0.5× 18 904
H. Kluiter Netherlands 19 249 0.5× 724 2.5× 354 1.3× 381 1.6× 117 0.5× 34 1.4k

Countries citing papers authored by Kimmo Pahkala

Since Specialization
Citations

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

Fields of papers citing papers by Kimmo Pahkala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimmo Pahkala

This figure shows the co-authorship network connecting the top 25 collaborators of Kimmo Pahkala. A scholar is included among the top collaborators of Kimmo Pahkala 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 Kimmo Pahkala. Kimmo Pahkala 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.
Kivelä, Sirkka‐Liisa & Kimmo Pahkala. (2001). Depressive Disorder as a Predictor of Physical Disability in Old Age. Journal of the American Geriatrics Society. 49(3). 290–296. 84 indexed citations
2.
Kivelä, Sirkka‐Liisa, Petteri Viramo, & Kimmo Pahkala. (2000). Factors Predicting Chronicity of Depression in Elderly Primary Care Patients. International Psychogeriatrics. 12(2). 183–194. 17 indexed citations
3.
Viramo, Petteri, et al.. (2000). Factors predicting the relapse of depression in old age. International Journal of Geriatric Psychiatry. 15(2). 112–119. 13 indexed citations
4.
Pahkala, Kimmo, et al.. (2000). Depressive symptoms predicting six-year mortality in depressed elderly Finns. International Journal of Geriatric Psychiatry. 15(10). 940–946. 12 indexed citations
5.
Pahkala, Kimmo, et al.. (1999). Follow up study of longstanding depression as predictor of mortality in elderly people living in the community. BMJ. 318(7181). 432–433. 43 indexed citations
6.
Pahkala, Kimmo, et al.. (1998). Survival of elderly Finns suffering from dysthymic disorder: a community study. Social Psychiatry and Psychiatric Epidemiology. 33(7). 319–325. 11 indexed citations
7.
Luukinen, Heikki, et al.. (1998). Early loss of mother or father predicts depression in old age. International Journal of Geriatric Psychiatry. 13(8). 527–530. 34 indexed citations
8.
Pahkala, Kimmo, et al.. (1997). Six‐year survival of depressed elderly Finns: a community study. International Journal of Geriatric Psychiatry. 12(9). 942–950. 1 indexed citations
9.
Pahkala, Kimmo, et al.. (1996). HEALTH, HEALTH BEHAVIOUR AND FUNCTIONAL ABILITY PREDICTING DEPRESSION IN OLD AGE: A LONGITUDINAL STUDY. International Journal of Geriatric Psychiatry. 11(10). 871–877. 30 indexed citations
10.
Kivelä, Sirkka‐Liisa, et al.. (1996). Social and Psychosocial Factors Predicting Depression in Old Age: A Longitudinal Study. International Psychogeriatrics. 8(4). 635–644. 47 indexed citations
11.
Pahkala, Kimmo, et al.. (1995). Prevalence of depression in an aged population in Finland. Social Psychiatry and Psychiatric Epidemiology. 30(3). 99–106. 54 indexed citations
12.
Kivelä, Sirkka‐Liisa, et al.. (1994). Five-Year Prognosis for Depression in Old Age. International Psychogeriatrics. 6(1). 69–78. 21 indexed citations
13.
Kivelä, Sirkka‐Liisa, et al.. (1993). Five‐year prognosis for dysthymic disorder in old age. International Journal of Geriatric Psychiatry. 8(11). 939–947. 7 indexed citations
14.
Pahkala, Kimmo, Sirkka‐Liisa Kivelä, & Pekka Laippala. (1992). Social and environmental factors and dysthymic disorder in old age. Journal of Clinical Epidemiology. 45(7). 775–783. 13 indexed citations
15.
Kivelä, Sirkka‐Liisa, et al.. (1992). Abuse in Old Age-Epidemiological Data from Finland. Journal of Elder Abuse & Neglect. 4(3). 1–18. 61 indexed citations
16.
Kivelä, Sirkka‐Liisa, Kimmo Pahkala, & Pekka Laippala. (1991). A one‐year prognosis of dysthymic disorder and major depression in old age. International Journal of Geriatric Psychiatry. 6(2). 81–87. 30 indexed citations
17.
Pahkala, Kimmo, Sirkka‐Liisa Kivelä, & Pekka Laippala. (1991). Relationships between social and health factors and major depression in old age in a multivariate analysis. Nordisk Psykiatrisk Tidsskrift. 45(4). 299–307. 3 indexed citations
18.
Kivelä, Sirkka‐Liisa & Kimmo Pahkala. (1991). Relationships between health behaviour and depression in the aged. Aging Clinical and Experimental Research. 3(2). 153–159. 16 indexed citations
19.
Kivelä, Sirkka‐Liisa & Kimmo Pahkala. (1989). Prevalence and Social Origins of Atypical Depression in the Elderly. Nordisk Psykiatrisk Tidsskrift. 43(4). 275–282. 6 indexed citations
20.
Kivelä, Sirkka‐Liisa, Kimmo Pahkala, & P. Laippala. (1988). Prevalence of depression in an elderly population in Finland. Acta Psychiatrica Scandinavica. 78(4). 401–413. 115 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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